/[      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()* + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^_`abcdefghijklmnopqrstuvwxyz{|}~(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None+0UXThe sort order specified in a listing condition. Possible values include the following:asc9 - Present the information in ascending order (from A-Z).dsc: - Present the information in descending order (from Z-A).9A list of the variables to use in searching or filtering  Evaluation. CreatedAt - Sets the search criteria to  Evaluation creation date. - Sets the search criteria to  Evaluation status.Name/ - Sets the search criteria to the contents of  Evaluation ____ Name.IAMUserP - Sets the search criteria to the user account that invoked an evaluation. MLModelId# - Sets the search criteria to the  Predictor that was evaluated. DataSourceId# - Sets the search criteria to the  DataSource used in evaluation.DataUri - Sets the search criteria to the data file(s) used in evaluation. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory. 1Entity status with the following possible values:PENDING INPROGRESSFAILED COMPLETEDDELETED&Contains the key values of  DetailsMap3: PredictiveModelType - Indicates the type of the MLModel8. Algorithm - Indicates the algorithm was used for the MLModel.)9A list of the variables to use in searching or filtering  DataSource. CreatedAt - Sets the search criteria to  DataSource creation date. - Sets the search criteria to  DataSource status.Name/ - Sets the search criteria to the contents of  DataSource ____ Name.DataUriM - Sets the search criteria to the URI of data files used to create the  DataSourcen. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.IAMUserF - Sets the search criteria to the user account that invoked the  DataSource creation.Note:The variable names should match the variable names in the  DataSource.0:A list of the variables to use in searching or filtering BatchPrediction. CreatedAt - Sets the search criteria to BatchPrediction creation date. - Sets the search criteria to BatchPrediction status.Name4 - Sets the search criteria to the contents of BatchPrediction ____ Name.IAMUserF - Sets the search criteria to the user account that invoked the BatchPrediction creation. MLModelId# - Sets the search criteria to the MLModel used in the BatchPrediction. DataSourceId# - Sets the search criteria to the  DataSource used in the BatchPrediction.DataURIA - Sets the search criteria to the data file(s) used in the BatchPredictionn. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.9The function used to train a MLModelA. Training choices supported by Amazon ML include the following:"SGD - Stochastic Gradient Descent./RandomForest - Random forest of decision trees.  !"#$%&'()*+,-./0123456789:      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFG;  !"#$%&'()*+,-./0123456789:Q  !"#$%&'()*+,-./0123456789:      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFG(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None+0;&Describes the data specification of a I.See:  smart constructor.<Describes the I% details specific to Amazon Redshift.See:  smart constructor.=_Describes the database credentials for connecting to a database on an Amazon Redshift cluster.See:  smart constructor.>SDescribes the database details required to connect to an Amazon Redshift database.See:  smart constructor.?7Describes the data specification of an Amazon Redshift I.See:  smart constructor.@4Describes the real-time endpoint information for an G.See:  smart constructor.A7The datasource details that are specific to Amazon RDS.See:  smart constructor.BHThe database credentials to connect to a database on an RDS DB instance.See:  smart constructor.C/The database details of an Amazon RDS database.See:  smart constructor.DNThe data specification of an Amazon Relational Database Service (Amazon RDS) I.See:  smart constructor.EThe output from a Predict operation:Details - Contains the following attributes: DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS DetailsAttributes.ALGORITHM - SGDPredictedLabel2 - Present for either a BINARY or MULTICLASS G request.PredictedScoresJ - Contains the raw classification score corresponding to each label.PredictedValue - Present for a REGRESSION G request.See:  smart constructor.FMeasurements of how well the Gg performed on known observations. One of the following metrics is returned, based on the type of the G:BinaryAUC: The binary GK uses the Area Under the Curve (AUC) technique to measure performance.RegressionRMSE: The regression G uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.$MulticlassAvgFScore: The multiclass G9 uses the F1 score technique to measure performance.@For more information about performance metrics, please see the  5http://docs.aws.amazon.com/machine-learning/latest/dg'Amazon Machine Learning Developer Guide.See:  smart constructor.G0Represents the output of a GetMLModel operation.MThe content consists of the detailed metadata and the current status of the G.See: s smart constructor.H1Represents the output of GetEvaluation operation.gThe content consists of the detailed metadata and data file information and the current status of the H.See: g smart constructor.I5Represents the output of the GetDataSource operation.gThe content consists of the detailed metadata and data file information and the current status of the I.See: W smart constructor.J6Represents the output of GetBatchPrediction operation._The content consists of the detailed metadata, the status, and the data file information of a Batch Prediction.See: K smart constructor.KCreates a value of J4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: LMNOPQRSTUVLThe status of the J5. This element can have one of the following values:PENDINGt - Amazon Machine Learning (Amazon ML) submitted a request to generate predictions for a batch of observations. INPROGRESS - The process is underway.FAILED] - The request to peform a batch prediction did not run to completion. It is not usable. COMPLETED7 - The batch prediction process completed successfully.DELETED - The J- is marked as deleted. It is not usable.M(The time of the most recent edit to the J'. The time is expressed in epoch time.NThe time that the J3 was created. The time is expressed in epoch time.OYThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).PThe ID of the G% that generated predictions for the J request.QThe ID of the I6 that points to the group of observations to predict.RThe ID assigned to the JB at creation. This value should be identical to the value of the BatchPredictionID in the request.S&The AWS user account that invoked the Js. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.T+A user-supplied name or description of the J.UXA description of the most recent details about processing the batch prediction request.VThe location of an Amazon S3 bucket or directory to receive the operation results. The following substrings are not allowed in the s3 key portion of the "outputURI" field: ':', '//', '/./', '/../'.WCreates a value of I4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:XYZ[\]^_`abcdefXThe current status of the I5. This element can have one of the following values:SPENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a I..INPROGRESS - The creation process is underway.!FAILED - The request to create a I2 did not run to completion. It is not usable.8COMPLETED - The creation process completed successfully.DELETED - The I( is marked as deleted. It is not usable.Y+The number of data files referenced by the I.Z(The time of the most recent edit to the J'. The time is expressed in epoch time.[The time that the I3 was created. The time is expressed in epoch time.\The ID that is assigned to the I during creation.]Undocumented member.^GThe total number of observations contained in the data files that the I references._$The AWS user account from which the I was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.`+A user-supplied name or description of the I.abThe location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a I.bThe parameter is true? if statistics need to be generated from the observation data.c=A description of the most recent details about creating the I.dUndocumented member.e>A JSON string that represents the splitting requirement of a  Datasource.fUndocumented member.gCreates a value of H4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: hijklmnopqrhQThe status of the evaluation. This element can have one of the following values:PENDINGO - Amazon Machine Learning (Amazon ML) submitted a request to evaluate an G. INPROGRESS - The evaluation is underway.FAILED - The request to evaluate an G2 did not run to completion. It is not usable. COMPLETED1 - The evaluation process completed successfully.DELETED - The H( is marked as deleted. It is not usable.iMeasurements of how well the G2 performed, using observations referenced by the IN. One of the following metrics is returned, based on the type of the MLModel:BinaryAUC: A binary GK uses the Area Under the Curve (AUC) technique to measure performance.RegressionRMSE: A regression G uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable."MulticlassAvgFScore: A multiclass G9 uses the F1 score technique to measure performance.@For more information about performance metrics, please see the  5http://docs.aws.amazon.com/machine-learning/latest/dg'Amazon Machine Learning Developer Guide.j(The time of the most recent edit to the H'. The time is expressed in epoch time.kThe time that the H3 was created. The time is expressed in epoch time.lnThe location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.mThe ID of the G% that is the focus of the evaluation.nThe AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.o+A user-supplied name or description of the H.pThe ID that is assigned to the H at creation.q>A description of the most recent details about evaluating the G.rThe ID of the I that is used to evaluate the G.sCreates a value of G4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:tuvwxyz{|}~tThe current status of an G5. This element can have one of the following values:TPENDING - Amazon Machine Learning (Amazon ML) submitted a request to create an G..INPROGRESS - The creation process is underway."FAILED - The request to create an G2 did not run to completion. It is not usable.8COMPLETED - The creation process completed successfully.DELETED - The G( is marked as deleted. It is not usable.u(The time of the most recent edit to the G'. The time is expressed in epoch time.v)A list of the training parameters in the G7. The list is implemented as a map of key/value pairs.8The following is the current set of training parameters:'sgd.l1RegularizationAmount' - Coefficient regularization L1 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to zero, resulting in a sparse feature set. If you use this parameter, specify a small value, such as 1.0E-04 or 1.0E-08.The value is a double that ranges from 0 to MAX_DOUBLE. The default is not to use L1 normalization. The parameter cannot be used when L2, is specified. Use this parameter sparingly.'sgd.l2RegularizationAmount' - Coefficient regularization L2 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to small, nonzero values. If you use this parameter, specify a small value, such as 1.0E-04 or 1.0E-08.}The valus is a double that ranges from 0 to MAX_DOUBLE. The default is not to use L2 normalization. This cannot be used when L1, is specified. Use this parameter sparingly.'sgd.maxPasses'Z - Number of times that the training process traverses the observations to build the GT. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes'u - Maximum allowed size of the model. Depending on the input data, the model size might affect performance.]The value is an integer that ranges from 100000 to 2147483648. The default value is 33554432.w(The time of the most recent edit to the ScoreThreshold'. The time is expressed in epoch time.xThe time that the G3 was created. The time is expressed in epoch time.yYThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).zThe ID assigned to the G at creation.{Undocumented member.|Undocumented member.} The algorithm used to train the G(. The following algorithm is supported:jSGD -- Stochastic gradient descent. The goal of SGD is to minimize the gradient of the loss function.~$The AWS user account from which the G was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.+A user-supplied name or description of the G.The current endpoint of the G.The ID of the training I(. The CreateMLModel operation uses the TrainingDataSourceId.=A description of the most recent details about accessing the G.Identifies the G2 category. The following are the available types:dREGRESSION - Produces a numeric result. For example, "What listing price should a house have?".fBINARY - Produces one of two possible results. For example, "Is this a child-friendly web site?".tMULTICLASS - Produces more than two possible results. For example, "Is this a HIGH, LOW or MEDIUM risk trade?".Creates a value of F4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:Undocumented member.Creates a value of E4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:$The prediction value for REGRESSION G.7The prediction label for either a BINARY or MULTICLASS G.Undocumented member.Undocumented member.Creates a value of D4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: The Amazon S3 location of the  DataSchema.;A JSON string that represents the schema for an Amazon RDS I. The  DataSchemaV defines the structure of the observation data in the data file(s) referenced in the I.A  DataSchema" is not required if you specify a  DataSchemaUri Define your  DataSchema! as a series of key-value pairs.  attributes and excludedVariableNames\ have an array of key-value pairs for their value. Use the following format to define your  DataSchema.{ "version": "1.0",""recordAnnotationFieldName": "F1","recordWeightFieldName": "F2","targetFieldName": "F3","dataFormat": "CSV","dataFileContainsHeader": true,"attributes": [{ "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ],#"excludedVariableNames": [ "F6" ] }RDataRearrangement - A JSON string that represents the splitting requirement of a I.FSample - ' "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"'Describes the  DatabaseName and InstanceIdentifier of an an Amazon RDS database.AThe query that is used to retrieve the observation data for the I.kThe AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon RDS database.^The Amazon S3 location for staging Amazon RDS data. The data retrieved from Amazon RDS using SelectSqlQuery is stored in this location.The role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (Amazon EC2) instance to carry out the copy operation from Amazon RDS to an Amazon S3 task. For more information, see  Ohttp://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.htmlRole templates for data pipelines.The role (DataPipelineDefaultRole) assumed by AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3. For more information, see  Ohttp://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.htmlRole templates for data pipelines.The subnet ID to be used to access a VPC-based RDS DB instance. This attribute is used by Data Pipeline to carry out the copy task from Amazon RDS to Amazon S3.The security group IDs to be used to access a VPC-based RDS DB instance. Ensure that there are appropriate ingress rules set up to allow access to the RDS DB instance. This attribute is used by Data Pipeline to carry out the copy operation from Amazon RDS to an Amazon S3 task.Creates a value of C4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID of an RDS DB instance.Undocumented member.Creates a value of B4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:Undocumented member.Undocumented member.Creates a value of A4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:PThe SQL query that is supplied during CreateDataSourceFromRDS. Returns only if Verbose is true in GetDataSourceInput.The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3. You can use the ID to find details about the instance in the Data Pipeline console.:The database details required to connect to an Amazon RDS.Undocumented member.The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3. For more information, see  Ohttp://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.htmlRole templates for data pipelines.The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3. For more information, see  Ohttp://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.htmlRole templates for data pipelines.Creates a value of @4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:DThe time that the request to create the real-time endpoint for the G3 was received. The time is expressed in epoch time.LThe URI that specifies where to send real-time prediction requests for the G.NoteWThe application must wait until the real-time endpoint is ready before using this URI.5The current status of the real-time endpoint for the G5. This element can have one of the following values:9NONE - Endpoint does not exist or was previously deleted.?READY - Endpoint is ready to be used for real-time predictions.*UPDATING - Updating/creating the endpoint.;The maximum processing rate for the real-time endpoint for G,, measured in incoming requests per second.Creates a value of ?4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:5Describes the schema location for an Amazon Redshift I.AA JSON string that represents the schema for an Amazon Redshift I. The  DataSchemaV defines the structure of the observation data in the data file(s) referenced in the I.A  DataSchema" is not required if you specify a  DataSchemaUri. Define your  DataSchema! as a series of key-value pairs.  attributes and excludedVariableNames\ have an array of key-value pairs for their value. Use the following format to define your  DataSchema.{ "version": "1.0",""recordAnnotationFieldName": "F1","recordWeightFieldName": "F2","targetFieldName": "F3","dataFormat": "CSV","dataFileContainsHeader": true,"attributes": [{ "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ],#"excludedVariableNames": [ "F6" ] }-Describes the splitting specifications for a I.Describes the  DatabaseName and ClusterIdentifier for an Amazon Redshift I.ZDescribes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift I.vDescribes AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon Redshift database.@Describes an Amazon S3 location to store the result set of the SelectSqlQuery query.Creates a value of >4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:Undocumented member.Undocumented member.Creates a value of =4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:Undocumented member.Undocumented member.Creates a value of <4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:VThe SQL query that is specified during CreateDataSourceFromRedshift. Returns only if Verbose is true in GetDataSourceInput.Undocumented member.Undocumented member.Creates a value of ;4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired::A JSON string that represents the schema for an Amazon S3 I. The  DataSchemaV defines the structure of the observation data in the data file(s) referenced in the I. Define your  DataSchema! as a series of key-value pairs.  attributes and excludedVariableNames\ have an array of key-value pairs for their value. Use the following format to define your  DataSchema.{ "version": "1.0",""recordAnnotationFieldName": "F1","recordWeightFieldName": "F2","targetFieldName": "F3","dataFormat": "CSV","dataFileContainsHeader": true,"attributes": [{ "fieldName": "F1", "fieldType": "TEXT" }, { "fieldName": "F2", "fieldType": "NUMERIC" }, { "fieldName": "F3", "fieldType": "CATEGORICAL" }, { "fieldName": "F4", "fieldType": "NUMERIC" }, { "fieldName": "F5", "fieldType": "CATEGORICAL" }, { "fieldName": "F6", "fieldType": "TEXT" }, { "fieldName": "F7", "fieldType": "WEIGHTED_INT_SEQUENCE" }, { "fieldName": "F8", "fieldType": "WEIGHTED_STRING_SEQUENCE" } ],#"excludedVariableNames": [ "F6" ] }+Describes the schema Location in Amazon S3.)Describes the splitting requirement of a  Datasource.+The location of the data file(s) used by a I|. The URI specifies a data file or an Amazon Simple Storage Service (Amazon S3) directory or bucket containing data files. ;HIJKL<MNOP=QRS>TUV?WXYZ[\]^@_`abcAdefghijBklmCnopDqrstuvwxyz{|E}~FGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~;HIJKL<MNOP=QRS>TUV?WXYZ[\]^@_`abcAdefghijBklmCnopDqrstuvwxyz{|E}~FGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~;HIJKL<MNOP=QRS>TUV?WXYZ[\]^@_`abcAdefghijBklmCnopD qrstuvwxyz{|E}~FGH IJ KLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None API version  '2014-12-12'2 of the Amazon Machine Learning SDK configuration.AAn error on the server occurred when trying to process a request.QAn error on the client occurred. Typically, the cause is an invalid input value.A second request to use or change an object was not allowed. This can result from retrying a request using a parameter that was not present in the original request.HThe exception is thrown when a predict request is made to an unmounted G.'A specified resource cannot be located.qThe subscriber exceeded the maximum number of operations. This exception can occur when listing objects such as I.  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~9:012345678)*+,-./&'( !"#$%  JKLMNOPQRSTUVIWXYZ[\]^_`abcdefHghijklmnopqrGstuvwxyz{|}~FEDCBA@?>=<;(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>LiRepresents the query results from a DescribeDataSources operation. The content is essentially a list of I.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: The equal to operator. The I results will have FilterVariable5 values that exactly match the value specified with .+The greater than or equal to operator. The I results will have FilterVariableD values that are greater than or equal to the value specified with GE.?A string that is found at the beginning of a variable, such as Name or Id.For example, a I could have the Name '2014-09-09-HolidayGiftMailer'. To search for this I , select Name for the FilterVariable+ and any of the following strings for the Prefix:2014-09 2014-09-092014-09-09-HolidayThe greater than operator. The I results will have FilterVariable8 values that are greater than the value specified with .The not equal to operator. The I results will have FilterVariable. values not equal to the value specified with NE.,The ID of the page in the paginated results.MA two-value parameter that determines the sequence of the resulting list of I.asc3 - Arranges the list in ascending order (A-Z, 0-9).dsc4 - Arranges the list in descending order (Z-A, 9-0).Results are sorted by FilterVariable.The maximum number of I to include in the result.The less than operator. The I results will have FilterVariable5 values that are less than the value specified with .7Use one of the following variables to filter a list of I: CreatedAt - Sets the search criteria to I creation dates. - Sets the search criteria to I statuses.Name/ - Sets the search criteria to the contents of I ____ Name.DataUriM - Sets the search criteria to the URI of data files used to create the In. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.IAMUserF - Sets the search criteria to the user account that invoked the I creation.(The less than or equal to operator. The I results will have FilterVariableA values that are less than or equal to the value specified with LE.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: A list of I that meet the search criteria._An ID of the next page in the paginated results that indicates at least one more page follows.The response status code.( (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L]Represents the output of a DescribeMLModels operation. The content is essentially a list of G.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: The equal to operator. The G results will have FilterVariable5 values that exactly match the value specified with .+The greater than or equal to operator. The G results will have FilterVariableD values that are greater than or equal to the value specified with GE.?A string that is found at the beginning of a variable, such as Name or Id.For example, an G could have the Name '2014-09-09-HolidayGiftMailer'. To search for this G , select Name for the FilterVariable+ and any of the following strings for the Prefix:2014-09 2014-09-092014-09-09-HolidayThe greater than operator. The G results will have FilterVariable8 values that are greater than the value specified with .The not equal to operator. The G results will have FilterVariable. values not equal to the value specified with NE.,The ID of the page in the paginated results.MA two-value parameter that determines the sequence of the resulting list of G.asc3 - Arranges the list in ascending order (A-Z, 0-9).dsc4 - Arranges the list in descending order (Z-A, 9-0).Results are sorted by FilterVariable.The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.The less than operator. The G results will have FilterVariable5 values that are less than the value specified with .7Use one of the following variables to filter a list of G:  CreatedAt - Sets the search criteria to G creation date. - Sets the search criteria to G status.Name/ - Sets the search criteria to the contents of G ____ Name.IAMUserF - Sets the search criteria to the user account that invoked the G creation.TrainingDataSourceId( - Sets the search criteria to the I used to train one or more G.# - Sets the search criteria to the G real-time endpoint status. - Sets the search criteria to G/ type: binary, regression, or multi-class.9; - Sets the search criteria to the algorithm that the G uses.TrainingDataURIH - Sets the search criteria to the data file(s) used in training a Gn. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.(The less than or equal to operator. The G results will have FilterVariableA values that are less than or equal to the value specified with LE.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:0A list of MLModel that meet the search criteria.`The ID of the next page in the paginated results that indicates at least one more page follows.The response status code.( (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L=Represents the output of an CreateRealtimeEndpoint operation.The result contains the  MLModelId' and the endpoint information for the G.1The endpoint information includes the URI of the GN; that is, the location to send online prediction requests for the specified G.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID assigned to the G during creation.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: The endpoint information of the G0A user-supplied ID that uniquely identifies the G6. This value should be identical to the value of the  MLModelId in the request.The response status code. (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>LiRepresents the query results from a DescribeEvaluations operation. The content is essentially a list of H.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: The equal to operator. The H results will have FilterVariable5 values that exactly match the value specified with .+The greater than or equal to operator. The H results will have FilterVariableD values that are greater than or equal to the value specified with GE.?A string that is found at the beginning of a variable, such as Name or Id.For example, an H could have the Name '2014-09-09-HolidayGiftMailer'. To search for this H , select Name for the FilterVariable+ and any of the following strings for the Prefix:2014-09 2014-09-092014-09-09-HolidayThe greater than operator. The H results will have FilterVariable8 values that are greater than the value specified with .The not equal to operator. The H results will have FilterVariable. values not equal to the value specified with NE.,The ID of the page in the paginated results.MA two-value parameter that determines the sequence of the resulting list of H.asc3 - Arranges the list in ascending order (A-Z, 0-9).dsc4 - Arranges the list in descending order (Z-A, 9-0).Results are sorted by FilterVariable.The maximum number of H to include in the result.The less than operator. The H results will have FilterVariable5 values that are less than the value specified with .6Use one of the following variable to filter a list of H objects: CreatedAt# - Sets the search criteria to the H creation date.# - Sets the search criteria to the H status.Name/ - Sets the search criteria to the contents of H ____ Name.IAMUserE - Sets the search criteria to the user account that invoked an H. MLModelId# - Sets the search criteria to the G that was evaluated. DataSourceId# - Sets the search criteria to the I used in H.DataUri= - Sets the search criteria to the data file(s) used in Ho. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.(The less than or equal to operator. The H results will have FilterVariableA values that are less than or equal to the value specified with LE.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:3A list of Evaluation that meet the search criteria.`The ID of the next page in the paginated results that indicates at least one more page follows.The response status code.(          (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>LERepresents the output of a GetEvaluation operation and describes an H.See:   smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID of the H% to retrieve. The evaluation of each GR is recorded and cataloged. The ID provides the means to access the information. Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:      QThe status of the evaluation. This element can have one of the following values:PENDINGO - Amazon Machine Language (Amazon ML) submitted a request to evaluate an G. INPROGRESS - The evaluation is underway.FAILED - The request to evaluate an G2 did not run to completion. It is not usable. COMPLETED1 - The evaluation process completed successfully.DELETED - The H( is marked as deleted. It is not usable. Measurements of how well the G1 performed using observations referenced by the ID. One of the following metric is returned based on the type of the G:BinaryAUC: A binary GK uses the Area Under the Curve (AUC) technique to measure performance.RegressionRMSE: A regression G uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable."MulticlassAvgFScore: A multiclass G9 uses the F1 score technique to measure performance.@For more information about performance metrics, please see the  5http://docs.aws.amazon.com/machine-learning/latest/dg'Amazon Machine Learning Developer Guide. (The time of the most recent edit to the J'. The time is expressed in epoch time. The time that the H3 was created. The time is expressed in epoch time.YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).The ID of the G& that was the focus of the evaluation.The AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.+A user-supplied name or description of the H.HA link to the file that contains logs of the CreateEvaluation operation.'The evaluation ID which is same as the  EvaluationId in the request.>A description of the most recent details about evaluating the G.The I used for this evaluation.The response status code.' !"#$%&'()*+,-.     /0123           !"#$%&'()*+,-.     /0123(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L {Represents the output of a CreateBatchPrediction operation, and is an acknowledgement that Amazon ML received the request.The CreateBatchPrediction operation is asynchronous. You can poll for status updates by using the GetBatchPrediction operation and checking the  parameter of the result.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:+A user-supplied name or description of the J. BatchPredictionName& can only use the UTF-8 character set.0A user-supplied ID that uniquely identifies the J.The ID of the G? that will generate predictions for the group of observations.The ID of the I6 that points to the group of observations to predict.The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the s3 key portion of the "outputURI" field: ':', '//', '/./', '/../'.Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the  5http://docs.aws.amazon.com/machine-learning/latest/dg'Amazon Machine Learning Developer Guide.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: ! 0A user-supplied ID that uniquely identifies the J/. This value is identical to the value of the BatchPredictionId in the request.!The response status code.456789:;<! !=>?@A  !  !456789:;< !=>?@A(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L"=Represents the output of an DeleteRealtimeEndpoint operation.The result contains the  MLModelId' and the endpoint information for the G.See: & smart constructor.#See: $ smart constructor.$Creates a value of #4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:%%The ID assigned to the G during creation.&Creates a value of "4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:'()' The endpoint information of the G(0A user-supplied ID that uniquely identifies the G6. This value should be identical to the value of the  MLModelId in the request.)The response status code."BCDE#FG$%%&)'()HIJKL"#$%&'()$#%&"'() "BCDE#FG$%&'()HIJKL (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L *See: 0 smart constructor.+See: , smart constructor.,Creates a value of +4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:-./-A unique identifier of the G..Undocumented member./Undocumented member.0Creates a value of *4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:121Undocumented member.2The response status code.*MNO+PQRS,-/-./0212TUVWX *+,-./012 ,+-./0*12*MNO+PQRS,-./012TUVWX (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L 3vRepresents the output of a CreateEvaluation operation, and is an acknowledgement that Amazon ML received the request.CreateEvaluation operation is asynchronous. You can poll for status updates by using the GetEvaluation operation and checking the  parameter.See: : smart constructor.4See: 5 smart constructor.5Creates a value of 44 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:67896+A user-supplied name or description of the H.70A user-supplied ID that uniquely identifies the H.8The ID of the G to evaluate. The schema used in creating the G must match the schema of the I used in the H.9The ID of the I( for the evaluation. The schema of the I* must match the schema used to create the G.:Creates a value of 34 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:;<;2The user-supplied ID that uniquely identifies the H6. This value should be identical to the value of the  EvaluationId in the request.<The response status code.3YZ[4\]^_`57896789:<;<abcde 3456789:;< 546789:3;<3YZ[4\]^_`56789:;<abcde (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L =}Represents the output of a CreateDataSourceFromRDS operation, and is an acknowledgement that Amazon ML received the request.The CreateDataSourceFromRDS operation is asynchronous. You can poll for updates by using the GetBatchPrediction operation and checking the  parameter. You can inspect the Message when  shows up as FAILEDI. You can also check the progress of the copy operation by going to the  DataPipelineR console and looking up the pipeline using the pipelineId from the describe call.See: E smart constructor.>See: ? smart constructor.?Creates a value of >4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:@ABCD@+A user-supplied name or description of the I.AThe compute statistics for a IJ. The statistics are generated from the observation data referenced by a I6. Amazon ML uses the statistics internally during an G* training. This parameter must be set to true if the ' needs to be used for G training.B0A user-supplied ID that uniquely identifies the IC. Typically, an Amazon Resource Number (ARN) becomes the ID for a I.C(The data specification of an Amazon RDS I: DatabaseInformation -2'DatabaseName ' - Name of the Amazon RDS database.' InstanceIdentifier ' - Unique identifier for the Amazon RDS database instance. - DatabaseCredentials - AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon RDS database.ResourceRole - Role (DataPipelineDefaultResourceRole) assumed by an Amazon Elastic Compute Cloud (EC2) instance to carry out the copy task from Amazon RDS to Amazon S3. For more information, see  Ohttp://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.htmlRole templates for data pipelines.ServiceRole - Role (DataPipelineDefaultRole) assumed by the AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon Simple Storage Service (S3). For more information, see  Ohttp://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.htmlRole templates for data pipelines.SecurityInfo - Security information to use to access an Amazon RDS instance. You need to set up appropriate ingress rules for the security entity IDs provided to allow access to the Amazon RDS instance. Specify a [SubnetId, SecurityGroupIds0] pair for a VPC-based Amazon RDS instance.RSelectSqlQuery - Query that is used to retrieve the observation data for the  Datasource.kS3StagingLocation - Amazon S3 location for staging RDS data. The data retrieved from Amazon RDS using SelectSqlQuery! is stored in this location.*DataSchemaUri - Amazon S3 location of the  DataSchema.QDataSchema - A JSON string representing the schema. This is not required if  DataSchemaUri is specified.SDataRearrangement - A JSON string representing the splitting requirement of a  Datasource.ESample - ' "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"'DThe role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user s account and copy data (using the SelectSqlQuery%) query from Amazon RDS to Amazon S3.ECreates a value of =4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:FGFpA user-supplied ID that uniquely identifies the datasource. This value should be identical to the value of the  DataSourceID in the request.GThe response status code.=fgh>ijklmn?BCD@ABCDEGFGopqrs =>?@ABCDEFG ?>@ABCDE=FG=fgh>ijklmn?@ABCDEFGopqrs (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>LHeRepresents the output of a DescribeBatchPredictions operation. The content is essentially a list of Js.See: V smart constructor.ISee: J smart constructor.JCreates a value of I4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: KLMNOPQRSTUKThe equal to operator. The J results will have FilterVariable5 values that exactly match the value specified with .L+The greater than or equal to operator. The J results will have FilterVariableD values that are greater than or equal to the value specified with GE.M?A string that is found at the beginning of a variable, such as Name or Id.;For example, a 'Batch Prediction' operation could have the Name '2014-09-09-HolidayGiftMailer'. To search for this J , select Name for the FilterVariable+ and any of the following strings for the Prefix:2014-09 2014-09-092014-09-09-HolidayNThe greater than operator. The J results will have FilterVariable8 values that are greater than the value specified with .OThe not equal to operator. The J results will have FilterVariable. values not equal to the value specified with NE.P+An ID of the page in the paginated results.QMA two-value parameter that determines the sequence of the resulting list of Gs.asc3 - Arranges the list in ascending order (A-Z, 0-9).dsc4 - Arranges the list in descending order (Z-A, 9-0).Results are sorted by FilterVariable.RThe number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.SThe less than operator. The J results will have FilterVariable5 values that are less than the value specified with .T8Use one of the following variables to filter a list of J: CreatedAt# - Sets the search criteria to the J creation date.# - Sets the search criteria to the J status.Name8 - Sets the search criteria to the contents of the J ____ Name.IAMUserF - Sets the search criteria to the user account that invoked the J creation. MLModelId# - Sets the search criteria to the G used in the J. DataSourceId# - Sets the search criteria to the I used in the J.DataURIA - Sets the search criteria to the data file(s) used in the Jo. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.U(The less than or equal to operator. The J results will have FilterVariableA values that are less than or equal to the value specified with LE.VCreates a value of H4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:WXYW@A list of BatchPrediction objects that meet the search criteria.X`The ID of the next page in the paginated results that indicates at least one more page follows.YThe response status code.(HtuvwIxyz{|}~JKLMNOPQRSTUVYWXYHIJKLMNOPQRSTUVWXYJIKLMNOPQRSTUVHWXYHtuvwI xyz{|}~JKLMNOPQRSTUVWXY (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None>LZPolls d every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.[Polls  d every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.\Polls !d every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.]Polls "d every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.Z[\]Z[\]Z[\]Z[\](c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L^IRepresents the output of a GetBatchPrediction operation and describes a J.See: b smart constructor._See: ` smart constructor.`Creates a value of _4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:aaAn ID assigned to the J at creation.bCreates a value of ^4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: cdefghijklmnocThe status of the J,, which can be one of the following values:PENDING^ - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions. INPROGRESS) - The batch predictions are in progress.FAILED^ - The request to perform a batch prediction did not run to completion. It is not usable. COMPLETED7 - The batch prediction process completed successfully.DELETED - The J- is marked as deleted. It is not usable.d$The time of the most recent edit to J'. The time is expressed in epoch time.eThe time when the J3 was created. The time is expressed in epoch time.fYThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).gThe ID of the G% that generated predictions for the J request.hThe ID of the I that was used to create the J.iAn ID assigned to the JB at creation. This value should be identical to the value of the BatchPredictionID in the request.j&The AWS user account that invoked the Js. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.k+A user-supplied name or description of the J.lNA link to the file that contains logs of the CreateBatchPrediction operation.mXA description of the most recent details about processing the batch prediction request.nSThe location of an Amazon S3 bucket or directory to receive the operation results.oThe response status code.'^_`aabocdefghijklmno^_`abcdefghijklmno`_ab^cdefghijklmno^_`abcdefghijklmno(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L p4Represents the output of an UpdateMLModel operation.BYou can see the updated content by using the GetMLModel operation.See: v smart constructor.qSee: r smart constructor.rCreates a value of q4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:stus+A user-supplied name or description of the G.tThe ScoreThreshold used in binary classification GR that marks the boundary between a positive prediction and a negative prediction.+Output values greater than or equal to the ScoreThreshold% receive a positive result from the G , such as true. Output values less than the ScoreThreshold' receive a negative response from the G , such as false.uThe ID assigned to the G during creation.vCreates a value of p4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:wxwThe ID assigned to the GF during creation. This value should be identical to the value of the  MLModelID in the request.xThe response status code.pqrustuvxwx pqrstuvwx rqstuvpwxpqrstuvwx(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>Ly3Represents the output of a DeleteMLModel operation.@You can use the GetMLModel operation and check the value of the  parameter to see whether an G is marked as DELETED.See: } smart constructor.zSee: { smart constructor.{Creates a value of z4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:||0A user-supplied ID that uniquely identifies the G.}Creates a value of y4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:~~0A user-supplied ID that uniquely identifies the G6. This value should be identical to the value of the  MLModelID in the request.The response status code.yz{||}~yz{|}~{z|}y~ yz{|}~(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>LRepresents the output of a DeleteEvaluation operation. The output indicates that Amazon Machine Learning (Amazon ML) received the request.DYou can use the GetEvaluation operation and check the value of the  parameter to see whether an H is marked as DELETED.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:0A user-supplied ID that uniquely identifies the H to delete.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:0A user-supplied ID that uniquely identifies the H6. This value should be identical to the value of the  EvaluationId in the request.The response status code. (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L7Represents the output of an UpdateEvaluation operation.EYou can see the updated content by using the GetEvaluation operation.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID assigned to the H during creation./A new user-supplied name or description of the H( that will replace the current content.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID assigned to the HF during creation. This value should be identical to the value of the H in the request.The response status code. (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>LDRepresents the output of a GetDataSource operation and describes a I.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:Specifies whether the  operation should return DataSourceSchema. If true, DataSourceSchema is returned. If false, DataSourceSchema is not returned.The ID assigned to the I at creation.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The current status of the I5. This element can have one of the following values:PENDINGL - Amazon Machine Language (Amazon ML) submitted a request to create a I. INPROGRESS$ - The creation process is underway.FAILED - The request to create a I2 did not run to completion. It is not usable. COMPLETED/ - The creation process completed successfully.DELETED - The I( is marked as deleted. It is not usable.+The number of data files referenced by the I.(The time of the most recent edit to the I'. The time is expressed in epoch time.The time that the I3 was created. The time is expressed in epoch time.The ID assigned to the IB at creation. This value should be identical to the value of the  DataSourceId in the request.Undocumented member.1The total size of observations in the data files.1The schema used by all of the data files of this I.Note9This parameter is provided as part of the verbose format.$The AWS user account from which the I was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.+A user-supplied name or description of the I.6A link to the file containining logs of either create I operation.YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).The parameter is true? if statistics need to be generated from the observation data.?The description of the most recent details about creating the I.Undocumented member.LA JSON string that captures the splitting rearrangement requirement of the I.Undocumented member.The response status code.3(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L\Represents the output of a GetMLModel operation, and provides detailed information about a G.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:Specifies whether the  operation should return Recipe. If true, Recipe is returned. If false, Recipe is not returned.The ID assigned to the G at creation.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The current status of the G5. This element can have one of the following values:PENDINGN - Amazon Machine Learning (Amazon ML) submitted a request to describe a G. INPROGRESS - The request is processing.FAILED; - The request did not run to completion. It is not usable. COMPLETED& - The request completed successfully.DELETED - The G( is marked as deleted. It is not usable.(The time of the most recent edit to the G'. The time is expressed in epoch time.)A list of the training parameters in the G7. The list is implemented as a map of key/value pairs.8The following is the current set of training parameters:'sgd.l1RegularizationAmount' - Coefficient regularization L1 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to zero, resulting in a sparse feature set. If you use this parameter, specify a small value, such as 1.0E-04 or 1.0E-08.The value is a double that ranges from 0 to MAX_DOUBLE. The default is not to use L1 normalization. The parameter cannot be used when L2, is specified. Use this parameter sparingly.'sgd.l2RegularizationAmount' - Coefficient regularization L2 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to small, nonzero values. If you use this parameter, specify a small value, such as 1.0E-04 or 1.0E-08.The value is a double that ranges from 0 to MAX_DOUBLE. The default is not to use L2 normalization. This parameter cannot be used when L1, is specified. Use this parameter sparingly.'sgd.maxPasses'^ - The number of times that the training process traverses the observations to build the GT. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes'y - The maximum allowed size of the model. Depending on the input data, the model size might affect performance.]The value is an integer that ranges from 100000 to 2147483648. The default value is 33554432.(The time of the most recent edit to the ScoreThreshold'. The time is expressed in epoch time.The time that the G3 was created. The time is expressed in epoch time.$The recipe to use when training the G. The Recipe provides detailed information about the observation data to use during training, as well as manipulations to perform on the observation data during training.Note9This parameter is provided as part of the verbose format.YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).$The MLModel ID which is same as the  MLModelId in the request.Undocumented member.;The schema used by all of the data files referenced by the I.Note9This parameter is provided as part of the verbose format.7The scoring threshold is used in binary classification GTs, and marks the boundary between a positive prediction and a negative prediction.jOutput values greater than or equal to the threshold receive a positive result from the MLModel, such as true_. Output values less than the threshold receive a negative response from the MLModel, such as false.$The AWS user account from which the G was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.+A user-supplied name or description of the G.-A link to the file that contains logs of the  CreateMLModel operation.The current endpoint of the GThe ID of the training I.;Description of the most recent details about accessing the G.Identifies the G2 category. The following are the available types:dREGRESSION -- Produces a numeric result. For example, "What listing price should a house have?"bBINARY -- Produces one of two possible results. For example, "Is this an e-commerce website?"tMULTICLASS -- Produces more than two possible results. For example, "Is this a HIGH, LOW or MEDIUM risk trade?"The response status code.5(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L<Represents the output of an UpdateBatchPrediction operation.KYou can see the updated content by using the GetBatchPrediction operation.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID assigned to the J during creation./A new user-supplied name or description of the J.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID assigned to the JF during creation. This value should be identical to the value of the BatchPredictionId in the request.The response status code.       (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L;Represents the output of a DeleteBatchPrediction operation.IYou can use the GetBatchPrediction operation and check the value of the  parameter to see whether a J is marked as DELETED.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:0A user-supplied ID that uniquely identifies the J.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:0A user-supplied ID that uniquely identifies the J6. This value should be identical to the value of the BatchPredictionID in the request.The response status code.     (c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L sRepresents the output of a CreateMLModel operation, and is an acknowledgement that Amazon ML received the request.The CreateMLModel operation is asynchronous. You can poll for status updates by using the GetMLModel operation and checking the  parameter.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The data recipe for creating Gy. You must specify either the recipe or its URI. If you don t specify a recipe or its URI, Amazon ML creates a default.XThe Amazon Simple Storage Service (Amazon S3) location and file name that contains the G recipe. You must specify either the recipe or its URI. If you don t specify a recipe or its URI, Amazon ML creates a default.+A user-supplied name or description of the G.)A list of the training parameters in the G7. The list is implemented as a map of key/value pairs.8The following is the current set of training parameters:'sgd.l1RegularizationAmount' - Coefficient regularization L1 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to zero, resulting in sparse feature set. If you use this parameter, start by specifying a small value such as 1.0E-08.The value is a double that ranges from 0 to MAX_DOUBLE. The default is not to use L1 normalization. The parameter cannot be used when L2, is specified. Use this parameter sparingly.'sgd.l2RegularizationAmount' - Coefficient regularization L2 norm. It controls overfitting the data by penalizing large coefficients. This tends to drive coefficients to small, nonzero values. If you use this parameter, start by specifying a small value such as 1.0E-08.}The valuseis a double that ranges from 0 to MAX_DOUBLE. The default is not to use L2 normalization. This cannot be used when L1, is specified. Use this parameter sparingly.'sgd.maxPasses'Z - Number of times that the training process traverses the observations to build the GT. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes' - Maximum allowed size of the model. Depending on the input data, the size of the model might affect its performance.]The value is an integer that ranges from 100000 to 2147483648. The default value is 33554432.0A user-supplied ID that uniquely identifies the G..The category of supervised learning that this G0 will address. Choose from the following types:Choose  REGRESSION if the G. will be used to predict a numeric value.Choose BINARY if the G result has two possible values.Choose  MULTICLASS if the G, result has a limited number of values.For more information, see the  5http://docs.aws.amazon.com/machine-learning/latest/dg'Amazon Machine Learning Developer Guide.The I" that points to the training data.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:0A user-supplied ID that uniquely identifies the G6. This value should be identical to the value of the  MLModelId in the request.The response status code. !"#$%   !"#$%(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L |Represents the output of a CreateDataSourceFromS3 operation, and is an acknowledgement that Amazon ML received the request.The CreateDataSourceFromS3 operation is asynchronous. You can poll for updates by using the GetBatchPrediction operation and checking the  parameter.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:+A user-supplied name or description of the I.The compute statistics for a IJ. The statistics are generated from the observation data referenced by a I6. Amazon ML uses the statistics internally during an G* training. This parameter must be set to true if the ' needs to be used for G training8A user-supplied identifier that uniquely identifies the I.The data specification of a I:aDataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.1DataSchemaLocationS3 - Amazon S3 location of the  DataSchema.QDataSchema - A JSON string representing the schema. This is not required if  DataSchemaUri is specified.SDataRearrangement - A JSON string representing the splitting requirement of a  Datasource.ESample - ' "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"'Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:pA user-supplied ID that uniquely identifies the datasource. This value should be identical to the value of the  DataSourceID in the request.The response status code.&'()*+,-./012  &'()*+,-./012(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L Represents the output of a CreateDataSourceFromRedshift operation, and is an acknowledgement that Amazon ML received the request.The CreateDataSourceFromRedshift operation is asynchronous. You can poll for updates by using the GetBatchPrediction operation and checking the  parameter.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:+A user-supplied name or description of the I.The compute statistics for a IJ. The statistics are generated from the observation data referenced by a I3. Amazon ML uses the statistics internally during G* training. This parameter must be set to true if the ' needs to be used for G training0A user-supplied ID that uniquely identifies the I.-The data specification of an Amazon Redshift I:DatabaseInformation -7'DatabaseName ' - Name of the Amazon Redshift database.' ClusterIdentifier ' - Unique ID for the Amazon Redshift cluster. - DatabaseCredentials - AWS Identity abd Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.RSelectSqlQuery - Query that is used to retrieve the observation data for the  Datasource.S3StagingLocation - Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Relational Database Service (Amazon RDS) using SelectSqlQuery is stored in this location.*DataSchemaUri - Amazon S3 location of the  DataSchema.QDataSchema - A JSON string representing the schema. This is not required if  DataSchemaUri is specified.SDataRearrangement - A JSON string representing the splitting requirement of a  Datasource.ESample - ' "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"'}A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:3A security group to allow Amazon ML to execute the SelectSqlQuery) query on an Amazon Redshift clusterQAn Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocationCreates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:pA user-supplied ID that uniquely identifies the datasource. This value should be identical to the value of the  DataSourceID in the request.The response status code.3456789:;<=>?@  3456789:;<=>?@(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L6Represents the output of a DeleteDataSource operation.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:0A user-supplied ID that uniquely identifies the I.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:0A user-supplied ID that uniquely identifies the I6. This value should be identical to the value of the  DataSourceID in the request.The response status code.ABCDEFGHIJ ABCDEFGHIJ(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None +0>L7Represents the output of an UpdateDataSource operation.KYou can see the updated content by using the GetBatchPrediction operation.See:  smart constructor.See:  smart constructor.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID assigned to the I during creation./A new user-supplied name or description of the I, that will replace the current description.Creates a value of 4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:The ID assigned to the IF during creation. This value should be identical to the value of the  DataSourceID in the request.The response status code.KLMNOPQRSTU KLMNOPQRSTU(c) 2013-2015 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~Z[\]9:012345678)*+,-./&'( !"#$%  JKLMNOPQRSTUVIWXYZ[\]^_`abcdefHghijklmnopqrGstuvwxyz{|}~FEDCBA@?>=<;V#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[J\]^_`abcdefghijklmnopqrstuvwxyz{|}~!     " !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGH I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g  h i j k l m n o p q r s t u v w x y z {|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmn o p q r s t u v w x y z { | } ~                                                   !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxamazo_CggOmSyGI8C1nWPixBJOtB!Network.AWS.MachineLearning.Types/Network.AWS.MachineLearning.DescribeDataSources,Network.AWS.MachineLearning.DescribeMLModels2Network.AWS.MachineLearning.CreateRealtimeEndpoint/Network.AWS.MachineLearning.DescribeEvaluations)Network.AWS.MachineLearning.GetEvaluation1Network.AWS.MachineLearning.CreateBatchPrediction2Network.AWS.MachineLearning.DeleteRealtimeEndpoint#Network.AWS.MachineLearning.Predict,Network.AWS.MachineLearning.CreateEvaluation3Network.AWS.MachineLearning.CreateDataSourceFromRDS4Network.AWS.MachineLearning.DescribeBatchPredictions#Network.AWS.MachineLearning.Waiters.Network.AWS.MachineLearning.GetBatchPrediction)Network.AWS.MachineLearning.UpdateMLModel)Network.AWS.MachineLearning.DeleteMLModel,Network.AWS.MachineLearning.DeleteEvaluation,Network.AWS.MachineLearning.UpdateEvaluation)Network.AWS.MachineLearning.GetDataSource&Network.AWS.MachineLearning.GetMLModel1Network.AWS.MachineLearning.UpdateBatchPrediction1Network.AWS.MachineLearning.DeleteBatchPrediction)Network.AWS.MachineLearning.CreateMLModel2Network.AWS.MachineLearning.CreateDataSourceFromS38Network.AWS.MachineLearning.CreateDataSourceFromRedshift,Network.AWS.MachineLearning.DeleteDataSource,Network.AWS.MachineLearning.UpdateDataSource%Network.AWS.MachineLearning.Types.Sum)Network.AWS.MachineLearning.Types.ProductNetwork.AWS.MachineLearningDescribeMLModelsDescribeBatchPredictionsDescribeDataSourcesDescribeEvaluations SortOrderAscDscRealtimeEndpointStatusFailedNoneReadyUpdating MLModelTypeBinary Multiclass RegressionMLModelFilterVariableMLMFVAlgorithmMLMFVCreatedAt MLMFVIAMUserMLMFVLastUpdatedAtMLMFVMLModelType MLMFVNameMLMFVRealtimeEndpointStatus MLMFVStatusMLMFVTrainingDataSourceIdMLMFVTrainingDataURIEvaluationFilterVariable EvalCreatedAtEvalDataSourceId EvalDataURI EvalIAMUserEvalLastUpdatedAt EvalMLModelIdEvalName EvalStatus EntityStatus ESCompleted ESDeletedESFailed ESInprogress ESPendingDetailsAttributes AlgorithmPredictiveModelTypeDataSourceFilterVariable DataCreatedAtDataDATALOCATIONS3 DataIAMUserDataLastUpdatedAtDataName DataStatusBatchPredictionFilterVariableBatchCreatedAtBatchDataSourceId BatchDataURI BatchIAMUserBatchLastUpdatedAtBatchMLModelId BatchName BatchStatusSGD S3DataSpecRedshiftMetadataRedshiftDatabaseCredentialsRedshiftDatabaseRedshiftDataSpecRealtimeEndpointInfo RDSMetadataRDSDatabaseCredentials RDSDatabase RDSDataSpec PredictionPerformanceMetricsMLModel Evaluation DataSourceBatchPredictionbatchPredictionbpStatusbpLastUpdatedAt bpCreatedAtbpInputDataLocationS3 bpMLModelIdbpBatchPredictionDataSourceIdbpBatchPredictionIdbpCreatedByIAMUserbpName bpMessage bpOutputURI dataSourcedsStatusdsNumberOfFilesdsLastUpdatedAt dsCreatedAtdsDataSourceId dsRDSMetadatadsDataSizeInBytesdsCreatedByIAMUserdsNamedsDataLocationS3dsComputeStatistics dsMessagedsRedshiftMetadatadsDataRearrangement dsRoleARN evaluationeStatusePerformanceMetricseLastUpdatedAt eCreatedAteInputDataLocationS3 eMLModelIdeCreatedByIAMUsereName eEvaluationIdeMessageeEvaluationDataSourceIdmLModel mlmStatusmlmLastUpdatedAtmlmTrainingParametersmlmScoreThresholdLastUpdatedAt mlmCreatedAtmlmInputDataLocationS3 mlmMLModelIdmlmSizeInBytesmlmScoreThreshold mlmAlgorithmmlmCreatedByIAMUsermlmNamemlmEndpointInfomlmTrainingDataSourceId mlmMessagemlmMLModelTypeperformanceMetrics pmProperties predictionpPredictedValuepPredictedLabelpPredictedScorespDetails rdsDataSpecrdsdsDataSchemaURIrdsdsDataSchemardsdsDataRearrangementrdsdsDatabaseInformationrdsdsSelectSqlQueryrdsdsDatabaseCredentialsrdsdsS3StagingLocationrdsdsResourceRolerdsdsServiceRole rdsdsSubnetIdrdsdsSecurityGroupIds rdsDatabaserdsdInstanceIdentifierrdsdDatabaseNamerdsDatabaseCredentials rdsdcUsername rdsdcPassword rdsMetadatarmSelectSqlQueryrmDataPipelineId rmDatabasermDatabaseUserNamermResourceRole rmServiceRolerealtimeEndpointInfo reiCreatedAtreiEndpointURLreiEndpointStatusreiPeakRequestsPerSecondredshiftDataSpecrDataSchemaURI rDataSchemarDataRearrangementrDatabaseInformationrSelectSqlQueryrDatabaseCredentialsrS3StagingLocationredshiftDatabaserdDatabaseNamerdClusterIdentifierredshiftDatabaseCredentials rdcUsername rdcPasswordredshiftMetadataredSelectSqlQueryredRedshiftDatabaseredDatabaseUserName s3DataSpec sdsDataSchemasdsDataSchemaLocationS3sdsDataRearrangementsdsDataLocationS3machineLearning_InternalServerException_InvalidInputException%_IdempotentParameterMismatchException_PredictorNotMountedException_ResourceNotFoundException_LimitExceededExceptionDescribeDataSourcesResponsedescribeDataSourcesddsEQddsGE ddsPrefixddsGTddsNE ddsNextToken ddsSortOrderddsLimitddsLTddsFilterVariableddsLEdescribeDataSourcesResponse ddssrsResultsddssrsNextTokenddssrsResponseStatusDescribeMLModelsResponsedescribeMLModelsdmlmEQdmlmGE dmlmPrefixdmlmGTdmlmNE dmlmNextToken dmlmSortOrder dmlmLimitdmlmLTdmlmFilterVariabledmlmLEdescribeMLModelsResponsedmlmsrsResultsdmlmsrsNextTokendmlmsrsResponseStatusCreateRealtimeEndpointResponseCreateRealtimeEndpointcreateRealtimeEndpoint creMLModelIdcreateRealtimeEndpointResponsecrersRealtimeEndpointInfocrersMLModelIdcrersResponseStatusDescribeEvaluationsResponsedescribeEvaluationsdeEQdeGEdePrefixdeGTdeNE deNextToken deSortOrderdeLimitdeLTdeFilterVariabledeLEdescribeEvaluationsResponse desrsResultsdesrsNextTokendesrsResponseStatusGetEvaluationResponse GetEvaluation getEvaluationgeEvaluationIdgetEvaluationResponse gersStatusgersPerformanceMetricsgersLastUpdatedAt gersCreatedAtgersInputDataLocationS3 gersMLModelIdgersCreatedByIAMUsergersName gersLogURIgersEvaluationId gersMessagegersEvaluationDataSourceIdgersResponseStatusCreateBatchPredictionResponseCreateBatchPredictioncreateBatchPredictioncbpBatchPredictionNamecbpBatchPredictionId cbpMLModelIdcbpBatchPredictionDataSourceId cbpOutputURIcreateBatchPredictionResponsecbprsBatchPredictionIdcbprsResponseStatusDeleteRealtimeEndpointResponseDeleteRealtimeEndpointdeleteRealtimeEndpoint dreMLModelIddeleteRealtimeEndpointResponsedrersRealtimeEndpointInfodrersMLModelIddrersResponseStatusPredictResponsePredictpredict pMLModelIdpRecordpPredictEndpointpredictResponse prsPredictionprsResponseStatusCreateEvaluationResponseCreateEvaluationcreateEvaluationceEvaluationNameceEvaluationId ceMLModelIdceEvaluationDataSourceIdcreateEvaluationResponsecersEvaluationIdcersResponseStatusCreateDataSourceFromRDSResponseCreateDataSourceFromRDScreateDataSourceFromRDScdsfrdsDataSourceNamecdsfrdsComputeStatisticscdsfrdsDataSourceIdcdsfrdsRDSDatacdsfrdsRoleARNcreateDataSourceFromRDSResponsecdsfrdsrsDataSourceIdcdsfrdsrsResponseStatus DescribeBatchPredictionsResponsedescribeBatchPredictionsdbpEQdbpGE dbpPrefixdbpGTdbpNE dbpNextToken dbpSortOrderdbpLimitdbpLTdbpFilterVariabledbpLE describeBatchPredictionsResponse drsResults drsNextTokendrsResponseStatusmLModelAvailablebatchPredictionAvailabledataSourceAvailableevaluationAvailableGetBatchPredictionResponseGetBatchPredictiongetBatchPredictiongbpBatchPredictionIdgetBatchPredictionResponse gbprsStatusgbprsLastUpdatedAtgbprsCreatedAtgbprsInputDataLocationS3gbprsMLModelId gbprsBatchPredictionDataSourceIdgbprsBatchPredictionIdgbprsCreatedByIAMUser gbprsName gbprsLogURI gbprsMessagegbprsOutputURIgbprsResponseStatusUpdateMLModelResponse UpdateMLModel updateMLModelumlmMLModelNameumlmScoreThreshold umlmMLModelIdupdateMLModelResponseumlmrsMLModelIdumlmrsResponseStatusDeleteMLModelResponse DeleteMLModel deleteMLModel dmlmMLModelIddeleteMLModelResponsedmlmrsMLModelIddmlmrsResponseStatusDeleteEvaluationResponseDeleteEvaluationdeleteEvaluationdeEvaluationIddeleteEvaluationResponsedersEvaluationIddersResponseStatusUpdateEvaluationResponseUpdateEvaluationupdateEvaluationueEvaluationIdueEvaluationNameupdateEvaluationResponseuersEvaluationIduersResponseStatusGetDataSourceResponse GetDataSource getDataSource gdsVerbosegdsDataSourceIdgetDataSourceResponse gdsrsStatusgdsrsNumberOfFilesgdsrsLastUpdatedAtgdsrsCreatedAtgdsrsDataSourceIdgdsrsRDSMetadatagdsrsDataSizeInBytesgdsrsDataSourceSchemagdsrsCreatedByIAMUser gdsrsName gdsrsLogURIgdsrsDataLocationS3gdsrsComputeStatistics gdsrsMessagegdsrsRedshiftMetadatagdsrsDataRearrangement gdsrsRoleARNgdsrsResponseStatusGetMLModelResponse GetMLModel getMLModel gmlmVerbose gmlmMLModelIdgetMLModelResponse gmlmrsStatusgmlmrsLastUpdatedAtgmlmrsTrainingParameters!gmlmrsScoreThresholdLastUpdatedAtgmlmrsCreatedAt gmlmrsRecipegmlmrsInputDataLocationS3gmlmrsMLModelIdgmlmrsSizeInBytes gmlmrsSchemagmlmrsScoreThresholdgmlmrsCreatedByIAMUser gmlmrsName gmlmrsLogURIgmlmrsEndpointInfogmlmrsTrainingDataSourceId gmlmrsMessagegmlmrsMLModelTypegmlmrsResponseStatusUpdateBatchPredictionResponseUpdateBatchPredictionupdateBatchPredictionubpBatchPredictionIdubpBatchPredictionNameupdateBatchPredictionResponseubprsBatchPredictionIdubprsResponseStatusDeleteBatchPredictionResponseDeleteBatchPredictiondeleteBatchPredictiondbpBatchPredictionIddeleteBatchPredictionResponsedbprsBatchPredictionIddbprsResponseStatusCreateMLModelResponse CreateMLModel createMLModel cmlmRecipe cmlmRecipeURIcmlmMLModelNamecmlmParameters cmlmMLModelIdcmlmMLModelTypecmlmTrainingDataSourceIdcreateMLModelResponsecmlmrsMLModelIdcmlmrsResponseStatusCreateDataSourceFromS3ResponseCreateDataSourceFromS3createDataSourceFromS3cdsfsDataSourceNamecdsfsComputeStatisticscdsfsDataSourceId cdsfsDataSpeccreateDataSourceFromS3ResponsecdsfsrsDataSourceIdcdsfsrsResponseStatus$CreateDataSourceFromRedshiftResponseCreateDataSourceFromRedshiftcreateDataSourceFromRedshiftcdsfrDataSourceNamecdsfrComputeStatisticscdsfrDataSourceId cdsfrDataSpec cdsfrRoleARN$createDataSourceFromRedshiftResponsecdsfrrsDataSourceIdcdsfrrsResponseStatusDeleteDataSourceResponseDeleteDataSourcedeleteDataSourceddsDataSourceIddeleteDataSourceResponseddsrsDataSourceIdddsrsResponseStatusUpdateDataSourceResponseUpdateDataSourceupdateDataSourceudsDataSourceIdudsDataSourceNameupdateDataSourceResponseudsrsDataSourceIdudsrsResponseStatushttpt_K1GcYiiEBxaBOQVfjX52vaNetwork.HTTP.Types.StatusStatus$fToJSONSortOrder$fToHeaderSortOrder$fToQuerySortOrder$fToByteStringSortOrder$fHashableSortOrder$fToTextSortOrder$fFromTextSortOrder $fFromJSONRealtimeEndpointStatus $fToHeaderRealtimeEndpointStatus$fToQueryRealtimeEndpointStatus$$fToByteStringRealtimeEndpointStatus $fHashableRealtimeEndpointStatus$fToTextRealtimeEndpointStatus $fFromTextRealtimeEndpointStatus$fFromJSONMLModelType$fToJSONMLModelType$fToHeaderMLModelType$fToQueryMLModelType$fToByteStringMLModelType$fHashableMLModelType$fToTextMLModelType$fFromTextMLModelType$fToJSONMLModelFilterVariable$fToHeaderMLModelFilterVariable$fToQueryMLModelFilterVariable#$fToByteStringMLModelFilterVariable$fHashableMLModelFilterVariable$fToTextMLModelFilterVariable$fFromTextMLModelFilterVariable $fToJSONEvaluationFilterVariable"$fToHeaderEvaluationFilterVariable!$fToQueryEvaluationFilterVariable&$fToByteStringEvaluationFilterVariable"$fHashableEvaluationFilterVariable $fToTextEvaluationFilterVariable"$fFromTextEvaluationFilterVariable$fFromJSONEntityStatus$fToHeaderEntityStatus$fToQueryEntityStatus$fToByteStringEntityStatus$fHashableEntityStatus$fToTextEntityStatus$fFromTextEntityStatus$fFromJSONDetailsAttributes$fToHeaderDetailsAttributes$fToQueryDetailsAttributes$fToByteStringDetailsAttributes$fHashableDetailsAttributes$fToTextDetailsAttributes$fFromTextDetailsAttributes $fToJSONDataSourceFilterVariable"$fToHeaderDataSourceFilterVariable!$fToQueryDataSourceFilterVariable&$fToByteStringDataSourceFilterVariable"$fHashableDataSourceFilterVariable $fToTextDataSourceFilterVariable"$fFromTextDataSourceFilterVariable%$fToJSONBatchPredictionFilterVariable'$fToHeaderBatchPredictionFilterVariable&$fToQueryBatchPredictionFilterVariable+$fToByteStringBatchPredictionFilterVariable'$fHashableBatchPredictionFilterVariable%$fToTextBatchPredictionFilterVariable'$fFromTextBatchPredictionFilterVariable$fFromJSONAlgorithm$fToHeaderAlgorithm$fToQueryAlgorithm$fToByteStringAlgorithm$fHashableAlgorithm$fToTextAlgorithm$fFromTextAlgorithm S3DataSpec'_sdsDataSchema_sdsDataSchemaLocationS3_sdsDataRearrangement_sdsDataLocationS3RedshiftMetadata'_redSelectSqlQuery_redRedshiftDatabase_redDatabaseUserNameRedshiftDatabaseCredentials' _rdcUsername _rdcPasswordRedshiftDatabase'_rdDatabaseName_rdClusterIdentifierRedshiftDataSpec'_rDataSchemaURI _rDataSchema_rDataRearrangement_rDatabaseInformation_rSelectSqlQuery_rDatabaseCredentials_rS3StagingLocationRealtimeEndpointInfo' _reiCreatedAt_reiEndpointURL_reiEndpointStatus_reiPeakRequestsPerSecond RDSMetadata'_rmSelectSqlQuery_rmDataPipelineId _rmDatabase_rmDatabaseUserName_rmResourceRole_rmServiceRoleRDSDatabaseCredentials'_rdsdcUsername_rdsdcPassword RDSDatabase'_rdsdInstanceIdentifier_rdsdDatabaseName RDSDataSpec'_rdsdsDataSchemaURI_rdsdsDataSchema_rdsdsDataRearrangement_rdsdsDatabaseInformation_rdsdsSelectSqlQuery_rdsdsDatabaseCredentials_rdsdsS3StagingLocation_rdsdsResourceRole_rdsdsServiceRole_rdsdsSubnetId_rdsdsSecurityGroupIds Prediction'_pPredictedValue_pPredictedLabel_pPredictedScores _pDetailsPerformanceMetrics' _pmPropertiesMLModel' _mlmStatus_mlmLastUpdatedAt_mlmTrainingParameters_mlmScoreThresholdLastUpdatedAt _mlmCreatedAt_mlmInputDataLocationS3 _mlmMLModelId_mlmSizeInBytes_mlmScoreThreshold _mlmAlgorithm_mlmCreatedByIAMUser_mlmName_mlmEndpointInfo_mlmTrainingDataSourceId _mlmMessage_mlmMLModelType Evaluation'_eStatus_ePerformanceMetrics_eLastUpdatedAt _eCreatedAt_eInputDataLocationS3 _eMLModelId_eCreatedByIAMUser_eName_eEvaluationId _eMessage_eEvaluationDataSourceId DataSource' _dsStatus_dsNumberOfFiles_dsLastUpdatedAt _dsCreatedAt_dsDataSourceId_dsRDSMetadata_dsDataSizeInBytes_dsCreatedByIAMUser_dsName_dsDataLocationS3_dsComputeStatistics _dsMessage_dsRedshiftMetadata_dsDataRearrangement _dsRoleARNBatchPrediction' _bpStatus_bpLastUpdatedAt _bpCreatedAt_bpInputDataLocationS3 _bpMLModelId_bpBatchPredictionDataSourceId_bpBatchPredictionId_bpCreatedByIAMUser_bpName _bpMessage _bpOutputURI$fToJSONS3DataSpec$fFromJSONRedshiftMetadata#$fToJSONRedshiftDatabaseCredentials$fToJSONRedshiftDatabase$fFromJSONRedshiftDatabase$fToJSONRedshiftDataSpec$fFromJSONRealtimeEndpointInfo$fFromJSONRDSMetadata$fToJSONRDSDatabaseCredentials$fToJSONRDSDatabase$fFromJSONRDSDatabase$fToJSONRDSDataSpec$fFromJSONPrediction$fFromJSONPerformanceMetrics$fFromJSONMLModel$fFromJSONEvaluation$fFromJSONDataSource$fFromJSONBatchPredictionghc-prim GHC.TypesEQGTLTDescribeDataSourcesResponse'_ddssrsResults_ddssrsNextToken_ddssrsResponseStatusDescribeDataSources'_ddsEQ_ddsGE _ddsPrefix_ddsGT_ddsNE _ddsNextToken _ddsSortOrder _ddsLimit_ddsLT_ddsFilterVariable_ddsLE$fToQueryDescribeDataSources$fToPathDescribeDataSources$fToJSONDescribeDataSources$fToHeadersDescribeDataSources$fAWSRequestDescribeDataSources$fAWSPagerDescribeDataSourcesDescribeMLModelsResponse'_dmlmsrsResults_dmlmsrsNextToken_dmlmsrsResponseStatusDescribeMLModels'_dmlmEQ_dmlmGE _dmlmPrefix_dmlmGT_dmlmNE_dmlmNextToken_dmlmSortOrder _dmlmLimit_dmlmLT_dmlmFilterVariable_dmlmLE$fToQueryDescribeMLModels$fToPathDescribeMLModels$fToJSONDescribeMLModels$fToHeadersDescribeMLModels$fAWSRequestDescribeMLModels$fAWSPagerDescribeMLModelsCreateRealtimeEndpointResponse'_crersRealtimeEndpointInfo_crersMLModelId_crersResponseStatusCreateRealtimeEndpoint' _creMLModelId$fToQueryCreateRealtimeEndpoint$fToPathCreateRealtimeEndpoint$fToJSONCreateRealtimeEndpoint!$fToHeadersCreateRealtimeEndpoint"$fAWSRequestCreateRealtimeEndpointDescribeEvaluationsResponse' _desrsResults_desrsNextToken_desrsResponseStatusDescribeEvaluations'_deEQ_deGE _dePrefix_deGT_deNE _deNextToken _deSortOrder_deLimit_deLT_deFilterVariable_deLE$fToQueryDescribeEvaluations$fToPathDescribeEvaluations$fToJSONDescribeEvaluations$fToHeadersDescribeEvaluations$fAWSRequestDescribeEvaluations$fAWSPagerDescribeEvaluationsGetEvaluationResponse' _gersStatus_gersPerformanceMetrics_gersLastUpdatedAt_gersCreatedAt_gersInputDataLocationS3_gersMLModelId_gersCreatedByIAMUser _gersName _gersLogURI_gersEvaluationId _gersMessage_gersEvaluationDataSourceId_gersResponseStatusGetEvaluation'_geEvaluationId$fToQueryGetEvaluation$fToPathGetEvaluation$fToJSONGetEvaluation$fToHeadersGetEvaluation$fAWSRequestGetEvaluationCreateBatchPredictionResponse'_cbprsBatchPredictionId_cbprsResponseStatusCreateBatchPrediction'_cbpBatchPredictionName_cbpBatchPredictionId _cbpMLModelId_cbpBatchPredictionDataSourceId _cbpOutputURI$fToQueryCreateBatchPrediction$fToPathCreateBatchPrediction$fToJSONCreateBatchPrediction $fToHeadersCreateBatchPrediction!$fAWSRequestCreateBatchPredictionDeleteRealtimeEndpointResponse'_drersRealtimeEndpointInfo_drersMLModelId_drersResponseStatusDeleteRealtimeEndpoint' _dreMLModelId$fToQueryDeleteRealtimeEndpoint$fToPathDeleteRealtimeEndpoint$fToJSONDeleteRealtimeEndpoint!$fToHeadersDeleteRealtimeEndpoint"$fAWSRequestDeleteRealtimeEndpointPredictResponse'_prsPrediction_prsResponseStatusPredict' _pMLModelId_pRecord_pPredictEndpoint$fToQueryPredict$fToPathPredict$fToJSONPredict$fToHeadersPredict$fAWSRequestPredictCreateEvaluationResponse'_cersEvaluationId_cersResponseStatusCreateEvaluation'_ceEvaluationName_ceEvaluationId _ceMLModelId_ceEvaluationDataSourceId$fToQueryCreateEvaluation$fToPathCreateEvaluation$fToJSONCreateEvaluation$fToHeadersCreateEvaluation$fAWSRequestCreateEvaluation CreateDataSourceFromRDSResponse'_cdsfrdsrsDataSourceId_cdsfrdsrsResponseStatusCreateDataSourceFromRDS'_cdsfrdsDataSourceName_cdsfrdsComputeStatistics_cdsfrdsDataSourceId_cdsfrdsRDSData_cdsfrdsRoleARN $fToQueryCreateDataSourceFromRDS$fToPathCreateDataSourceFromRDS$fToJSONCreateDataSourceFromRDS"$fToHeadersCreateDataSourceFromRDS#$fAWSRequestCreateDataSourceFromRDS!DescribeBatchPredictionsResponse' _drsResults _drsNextToken_drsResponseStatusDescribeBatchPredictions'_dbpEQ_dbpGE _dbpPrefix_dbpGT_dbpNE _dbpNextToken _dbpSortOrder _dbpLimit_dbpLT_dbpFilterVariable_dbpLE!$fToQueryDescribeBatchPredictions $fToPathDescribeBatchPredictions $fToJSONDescribeBatchPredictions#$fToHeadersDescribeBatchPredictions$$fAWSRequestDescribeBatchPredictions"$fAWSPagerDescribeBatchPredictionsGetBatchPredictionResponse' _gbprsStatus_gbprsLastUpdatedAt_gbprsCreatedAt_gbprsInputDataLocationS3_gbprsMLModelId!_gbprsBatchPredictionDataSourceId_gbprsBatchPredictionId_gbprsCreatedByIAMUser _gbprsName _gbprsLogURI _gbprsMessage_gbprsOutputURI_gbprsResponseStatusGetBatchPrediction'_gbpBatchPredictionId$fToQueryGetBatchPrediction$fToPathGetBatchPrediction$fToJSONGetBatchPrediction$fToHeadersGetBatchPrediction$fAWSRequestGetBatchPredictionUpdateMLModelResponse'_umlmrsMLModelId_umlmrsResponseStatusUpdateMLModel'_umlmMLModelName_umlmScoreThreshold_umlmMLModelId$fToQueryUpdateMLModel$fToPathUpdateMLModel$fToJSONUpdateMLModel$fToHeadersUpdateMLModel$fAWSRequestUpdateMLModelDeleteMLModelResponse'_dmlmrsMLModelId_dmlmrsResponseStatusDeleteMLModel'_dmlmMLModelId$fToQueryDeleteMLModel$fToPathDeleteMLModel$fToJSONDeleteMLModel$fToHeadersDeleteMLModel$fAWSRequestDeleteMLModelDeleteEvaluationResponse'_dersEvaluationId_dersResponseStatusDeleteEvaluation'_deEvaluationId$fToQueryDeleteEvaluation$fToPathDeleteEvaluation$fToJSONDeleteEvaluation$fToHeadersDeleteEvaluation$fAWSRequestDeleteEvaluationUpdateEvaluationResponse'_uersEvaluationId_uersResponseStatusUpdateEvaluation'_ueEvaluationId_ueEvaluationName$fToQueryUpdateEvaluation$fToPathUpdateEvaluation$fToJSONUpdateEvaluation$fToHeadersUpdateEvaluation$fAWSRequestUpdateEvaluationGetDataSourceResponse' _gdsrsStatus_gdsrsNumberOfFiles_gdsrsLastUpdatedAt_gdsrsCreatedAt_gdsrsDataSourceId_gdsrsRDSMetadata_gdsrsDataSizeInBytes_gdsrsDataSourceSchema_gdsrsCreatedByIAMUser _gdsrsName _gdsrsLogURI_gdsrsDataLocationS3_gdsrsComputeStatistics _gdsrsMessage_gdsrsRedshiftMetadata_gdsrsDataRearrangement _gdsrsRoleARN_gdsrsResponseStatusGetDataSource' _gdsVerbose_gdsDataSourceId$fToQueryGetDataSource$fToPathGetDataSource$fToJSONGetDataSource$fToHeadersGetDataSource$fAWSRequestGetDataSourceGetMLModelResponse' _gmlmrsStatus_gmlmrsLastUpdatedAt_gmlmrsTrainingParameters"_gmlmrsScoreThresholdLastUpdatedAt_gmlmrsCreatedAt _gmlmrsRecipe_gmlmrsInputDataLocationS3_gmlmrsMLModelId_gmlmrsSizeInBytes _gmlmrsSchema_gmlmrsScoreThreshold_gmlmrsCreatedByIAMUser _gmlmrsName _gmlmrsLogURI_gmlmrsEndpointInfo_gmlmrsTrainingDataSourceId_gmlmrsMessage_gmlmrsMLModelType_gmlmrsResponseStatus GetMLModel' _gmlmVerbose_gmlmMLModelId$fToQueryGetMLModel$fToPathGetMLModel$fToJSONGetMLModel$fToHeadersGetMLModel$fAWSRequestGetMLModelUpdateBatchPredictionResponse'_ubprsBatchPredictionId_ubprsResponseStatusUpdateBatchPrediction'_ubpBatchPredictionId_ubpBatchPredictionName$fToQueryUpdateBatchPrediction$fToPathUpdateBatchPrediction$fToJSONUpdateBatchPrediction $fToHeadersUpdateBatchPrediction!$fAWSRequestUpdateBatchPredictionDeleteBatchPredictionResponse'_dbprsBatchPredictionId_dbprsResponseStatusDeleteBatchPrediction'_dbpBatchPredictionId$fToQueryDeleteBatchPrediction$fToPathDeleteBatchPrediction$fToJSONDeleteBatchPrediction $fToHeadersDeleteBatchPrediction!$fAWSRequestDeleteBatchPredictionCreateMLModelResponse'_cmlmrsMLModelId_cmlmrsResponseStatusCreateMLModel' _cmlmRecipe_cmlmRecipeURI_cmlmMLModelName_cmlmParameters_cmlmMLModelId_cmlmMLModelType_cmlmTrainingDataSourceId$fToQueryCreateMLModel$fToPathCreateMLModel$fToJSONCreateMLModel$fToHeadersCreateMLModel$fAWSRequestCreateMLModelCreateDataSourceFromS3Response'_cdsfsrsDataSourceId_cdsfsrsResponseStatusCreateDataSourceFromS3'_cdsfsDataSourceName_cdsfsComputeStatistics_cdsfsDataSourceId_cdsfsDataSpec$fToQueryCreateDataSourceFromS3$fToPathCreateDataSourceFromS3$fToJSONCreateDataSourceFromS3!$fToHeadersCreateDataSourceFromS3"$fAWSRequestCreateDataSourceFromS3%CreateDataSourceFromRedshiftResponse'_cdsfrrsDataSourceId_cdsfrrsResponseStatusCreateDataSourceFromRedshift'_cdsfrDataSourceName_cdsfrComputeStatistics_cdsfrDataSourceId_cdsfrDataSpec _cdsfrRoleARN%$fToQueryCreateDataSourceFromRedshift$$fToPathCreateDataSourceFromRedshift$$fToJSONCreateDataSourceFromRedshift'$fToHeadersCreateDataSourceFromRedshift($fAWSRequestCreateDataSourceFromRedshiftDeleteDataSourceResponse'_ddsrsDataSourceId_ddsrsResponseStatusDeleteDataSource'_ddsDataSourceId$fToQueryDeleteDataSource$fToPathDeleteDataSource$fToJSONDeleteDataSource$fToHeadersDeleteDataSource$fAWSRequestDeleteDataSourceUpdateDataSourceResponse'_udsrsDataSourceId_udsrsResponseStatusUpdateDataSource'_udsDataSourceId_udsDataSourceName$fToQueryUpdateDataSource$fToPathUpdateDataSource$fToJSONUpdateDataSource$fToHeadersUpdateDataSource$fAWSRequestUpdateDataSource