K      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~                                                                                                                      ! " # $ % & ' ()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None05[WThe 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.IAMUserK - 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  DetailsMap2: PredictiveModelType - Indicates the type of the MLModel7. 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.DataUriH - Sets the search criteria to the URI of data files used to create the  DataSourcei. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.IAMUserA - 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.09A 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.Name/ - Sets the search criteria to the contents of BatchPrediction ____ Name.IAMUserA - 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.DataURI< - Sets the search criteria to the data file(s) used in the BatchPredictioni. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.9The function used to train a MLModel@. Training choices supported by Amazon ML include the following:"SGD - Stochastic Gradient Descent./RandomForest - Random forest of decision trees.  !"#$%&'()*+,-./0123456789:     ;  !"#$%&'().*+,-/0123456789:[  !"#$%&'()*+,-./0123456789:     (c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None!"05;&Describes the data specification of a I.See:  smart constructor.<Describes the I% details specific to Amazon Redshift.See:  smart constructor.=^Describes the database credentials for connecting to a database on an Amazon Redshift cluster.See:  smart constructor.>RDescribes the database details required to connect to an Amazon Redshift database.See:  smart constructor.?7Describes the data specification of an Amazon Redshift I.See:  smart constructor.@4Describes the real-time endpoint information for an G.See:  smart constructor.A7The datasource details that are specific to Amazon RDS.See:  smart constructor.BHThe database credentials to connect to a database on an RDS DB instance.See:  smart constructor.C/The database details of an Amazon RDS database.See:  smart constructor.DMThe data specification of an Amazon Relational Database Service (Amazon RDS) I.See:  smart constructor.EThe output from a Predict operation:Details - Contains the following attributes: DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS DetailsAttributes.ALGORITHM - SGDPredictedLabel- - Present for either a BINARY or MULTICLASS G request.PredictedScoresE - Contains the raw classification score corresponding to each label.PredictedValue - Present for a REGRESSION G request.See:  smart constructor.FMeasurements of how well the Ge performed on known observations. One of the following metrics is returned, based on the type of the G:BinaryAUC: The binary GF uses the Area Under the Curve (AUC) technique to measure performance.RegressionRMSE: The regression G uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.$MulticlassAvgFScore: The multiclass G4 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.GRepresents the output of a  GetMLModel operation.LThe content consists of the detailed metadata and the current status of the G.See: s smart constructor.HRepresents the output of  GetEvaluation operation.fThe content consists of the detailed metadata and data file information and the current status of the H.See: g smart constructor.IRepresents the output of the  GetDataSource operation.fThe content consists of the detailed metadata and data file information and the current status of the I.See: W smart constructor.JRepresents 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 J4. This element can have one of the following values:PENDINGo - Amazon Machine Learning (Amazon ML) submitted a request to generate predictions for a batch of observations. INPROGRESS - The process is underway.FAILEDX - 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 J2 was created. The time is expressed in epoch time.OXThe 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 I5 that points to the group of observations to predict.RThe ID assigned to the JA at creation. This value should be identical to the value of the BatchPredictionID in the request.S&The AWS user account that invoked the Jq. 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.UWA 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 I4. This element can have one of the following values:NPENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a I..INPROGRESS - The creation process is underway.!FAILED - The request to create a I- 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 I2 was created. The time is expressed in epoch time.\The ID that is assigned to the I during creation.]Undocumented member.^FThe 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.aaThe 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: hijklmnopqrhPThe status of the evaluation. This element can have one of the following values:PENDINGJ - Amazon Machine Learning (Amazon ML) submitted a request to evaluate an G. INPROGRESS - The evaluation is underway.FAILED - The request to evaluate an G- 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 G1 performed, using observations referenced by the IM. One of the following metrics is returned, based on the type of the MLModel:BinaryAUC: A binary GF 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 G4 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 H2 was created. The time is expressed in epoch time.lmThe 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 G4. This element can have one of the following values:OPENDING - Amazon Machine Learning (Amazon ML) submitted a request to create an G..INPROGRESS - The creation process is underway."FAILED - The request to create an G- 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 G6. 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'U - Number of times that the training process traverses the observations to build the GO. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes'k - 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 G2 was created. The time is expressed in epoch time.yXThe 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:eSGD -- 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 G1 category. The following are the available types:_REGRESSION - Produces a numeric result. For example, "What listing price should a house have?".aBINARY - Produces one of two possible results. For example, "Is this a child-friendly web site?".oMULTICLASS - 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  DataSchemaU 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" ] }QDataRearrangement - A JSON string that represents the splitting requirement of a I.ESample - ' "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"'Describes the  DatabaseName and InstanceIdentifier of an an Amazon RDS database.@The query that is used to retrieve the observation data for the I.jThe 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:&The 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:CThe time that the request to create the real-time endpoint for the G3 was received. The time is expressed in epoch time.KThe URI that specifies where to send real-time prediction requests for the G.NoteVThe application must wait until the real-time endpoint is ready before using this URI.5The current status of the real-time endpoint for the G4. 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.@A JSON string that represents the schema for an Amazon Redshift I. The  DataSchemaU 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.YDescribes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift I.uDescribes 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:'The 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  DataSchemaU 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 Iz. The URI specifies a data file or an Amazon Simple Storage Service (Amazon S3) directory or bucket containing data files.,;< =!"#>$%&?'()*+,-.@/0123A456789:B;<=C>?@DABCDEFGHIJKLEMNOPQFRSGTUVWXYZ[\]^_`abcdHefghijklmnopIqrstuvwxyz{|}~JKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~;< =!"#>$%&?'()*+,-.@/0123A456789:B;<=C>?@DABCDEFGHIJKLEMNOPQFRSGTUVWXYZ[\]^_`abcdHefghijklmnopIqrstuvwxyz{|}~JKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~;< =!"#>$%&?'()*+,-.@/0123A456789:B;<=C>?@D ABCDEFGHIJKLEMNOPQFRSGTUVWXYZ[\]^_`abcdH efghijklmnopIqrstuvwxyz{|}~J KLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~(c) 2013-2016 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.PAn 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.GThe exception is thrown when a predict request is made to an unmounted G.'A specified resource cannot be located.pThe 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) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR$Represents the query results from a  DescribeDataSources1 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 FilterVariable4 values that exactly match the value specified with .+The greater than or equal to operator. The I results will have FilterVariableC 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 FilterVariable7 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.LA 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 FilterVariable4 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.DataUriH - Sets the search criteria to the URI of data files used to create the Ii. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.IAMUserA - 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 FilterVariable@ 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) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents the output of a  DescribeMLModels1 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 FilterVariable4 values that exactly match the value specified with .+The greater than or equal to operator. The G results will have FilterVariableC 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 FilterVariable7 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.LA 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 FilterVariable4 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.IAMUserA - 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.96 - Sets the search criteria to the algorithm that the G uses.TrainingDataURIC - Sets the search criteria to the data file(s) used in training a Gi. 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 FilterVariable@ 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  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) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents 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 GM; 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 G5. This value should be identical to the value of the  MLModelId in the request.The response status code.  (c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR+$Represents the query results from a  DescribeEvaluations1 operation. The content is essentially a list of H.See: 9 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: ./012345678.The equal to operator. The H results will have FilterVariable4 values that exactly match the value specified with ./+The greater than or equal to operator. The H results will have FilterVariableC values that are greater than or equal to the value specified with GE.0?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-Holiday1The greater than operator. The H results will have FilterVariable7 values that are greater than the value specified with .2The not equal to operator. The H results will have FilterVariable. values not equal to the value specified with NE.3,The ID of the page in the paginated results.4LA 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.5The maximum number of H to include in the result.6The less than operator. The H results will have FilterVariable4 values that are less than the value specified with .76Use 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.IAMUser@ - 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.DataUri8 - Sets the search criteria to the data file(s) used in Hj. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.8(The less than or equal to operator. The H results will have FilterVariable@ values that are less than or equal to the value specified with LE.9Creates 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  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.++,-./0123456789<:;<=>?@ABCDE+,-./0123456789:;<-,./0123456789+:;<+, -./0123456789:;<=>?@ABCDE(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRPRepresents the output of a  GetEvaluation operation and describes an H.See: T 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:SSThe ID of the H% to retrieve. The evaluation of each GP is recorded and cataloged. The ID provides the means to access the information.TCreates 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: UVWXYZ[\]^_`aUPThe status of the evaluation. This element can have one of the following values:PENDINGJ - Amazon Machine Language (Amazon ML) submitted a request to evaluate an G. INPROGRESS - The evaluation is underway.FAILED - The request to evaluate an G- 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.VMeasurements of how well the G0 performed using observations referenced by the IC. One of the following metric is returned based on the type of the G:BinaryAUC: A binary GF 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 G4 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.W(The time of the most recent edit to the J&. The time is expressed in epoch time.XThe time that the H2 was created. The time is expressed in epoch time.YXThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).ZThe 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.]-A 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.aThe response status code.*PQRSSTaUVWXYZ[\]^_`abcdefghiPQRSTUVWXYZ[\]^_`aRQSTPUVWXYZ[\]^_`aPQRSTUVWXYZ[\]^_`abcdefghi(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR tRepresents the output of a  CreateBatchPredictionJ operation, and is an acknowledgement that Amazon ML received the request.The  CreateBatchPredictionI operation is asynchronous. You can poll for status updates by using the  GetBatchPrediction operation and checking the  parameter of the result.See: | smart constructor.uSee: v smart constructor.vCreates a value of u4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:wxyz{w+A user-supplied name or description of the J. BatchPredictionName& can only use the UTF-8 character set.x0A user-supplied ID that uniquely identifies the J.yThe ID of the G> that will generate predictions for the group of observations.zThe ID of the I5 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 t4 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.t  u   vxyz{wxyz{|~}~ tuvwxyz{|}~ vuwxyz{|t}~t  u   vwxyz{|}~(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents 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 G0A user-supplied ID that uniquely identifies the G5. This value should be identical to the value of the  MLModelId in the request.The response status code. (c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR 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 unique identifier of the G.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.The response status code.   (c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR Represents the output of a  CreateEvaluationJ operation, and is an acknowledgement that Amazon ML received the request. CreateEvaluationI operation is asynchronous. You can poll for status updates by using the  GetEvaluation 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 H.0A user-supplied ID that uniquely identifies the H.The ID of the G to evaluate. The schema used in creating the G must match the schema of the I used in the H.The 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 4 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 H5. This value should be identical to the value of the  EvaluationId in the request.The response status code. !"#$%   !"#$% (c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR Represents the output of a  CreateDataSourceFromRDSJ operation, and is an acknowledgement that Amazon ML received the request.The  CreateDataSourceFromRDSB 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 FAILEDH. You can also check the progress of the copy operation by going to the  DataPipelineQ console and looking up the pipeline using the pipelineId from the describe call.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 II. The statistics are generated from the observation data referenced by a I5. Amazon ML uses the statistics internally during an G) training. This parameter must be set to true if the 'q needs to be used for G training.0A user-supplied ID that uniquely identifies the IB. Typically, an Amazon Resource Number (ARN) becomes the ID for a I.(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, SecurityGroupIds+] pair for a VPC-based Amazon RDS instance.MSelectSqlQuery - Query that is used to retrieve the observation data for the  Datasource.fS3StagingLocation - 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.LDataSchema - A JSON string representing the schema. This is not required if  DataSchemaUri is specified.NDataRearrangement - A JSON string representing the splitting requirement of a  Datasource.ESample - ' "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"'The 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.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:oA 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.&'()*+,-.  &'()*+,-. (c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents the output of a  DescribeBatchPredictions1 operation. The content is essentially a list of Js.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 J results will have FilterVariable4 values that exactly match the value specified with .+The greater than or equal to operator. The J results will have FilterVariableC 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 '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-HolidayThe greater than operator. The J results will have FilterVariable7 values that are greater than the value specified with .The not equal to operator. The J results will have FilterVariable. values not equal to the value specified with NE.+An ID of the page in the paginated results.LA 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. 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 J results will have FilterVariable4 values that are less than the value specified with . 7Use 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.Name3 - Sets the search criteria to the contents of the J ____ Name.IAMUserA - 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.DataURI< - Sets the search criteria to the data file(s) used in the Jj. 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 J results will have FilterVariable@ 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  BatchPrediction' objects 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.+/0123456789:;<=>               /012 3456789:;<=>      (c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)NoneDR$Polls d every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.%Polls  d every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.&Polls !d every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.'Polls "d every 30 seconds until a successful state is reached. An error is returned after 60 failed checks.$%&'$%&'$%&'$%&'(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR(Represents the output of a  GetBatchPrediction operation and describes a J.See: , smart constructor.)See: * smart constructor.*Creates a value of )4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:++An ID assigned to the J at creation.,Creates a value of (4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired: -./0123456789-The status of the J+, which can be one of the following values:PENDINGY - Amazon Machine Learning (Amazon ML) submitted a request to generate batch predictions. INPROGRESS) - The batch predictions are in progress.FAILEDY - The request to perform a batch prediction did not run to completion. It is not usable. COMPLETED7 - The batch prediction process completed successfully.DELETED - The J( is marked as deleted. It is not usable..$The time of the most recent edit to J&. The time is expressed in epoch time./The time when the J2 was created. The time is expressed in epoch time.0XThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).1The ID of the G$ that generated predictions for the J request.2The ID of the I that was used to create the J.3An ID assigned to the JA at creation. This value should be identical to the value of the BatchPredictionID in the request.4&The AWS user account that invoked the Jq. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.5+A user-supplied name or description of the J.6-A link to the file that contains logs of the  CreateBatchPrediction operation.7WA description of the most recent details about processing the batch prediction request.8RThe location of an Amazon S3 bucket or directory to receive the operation results.9The response status code.*(?@ABCDEFGHIJKL)MN*++,9-./0123456789:;<=>?@A()*+,-./0123456789*)+,(-./0123456789(?@ABCDEFGHIJKL)MN*+,-./0123456789:;<=>?@A(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR LRepresents the output of an  UpdateMLModel operation.-You can see the updated content by using the  GetMLModel operation.See: R smart constructor.MSee: N smart constructor.NCreates a value of M4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:OPQO+A user-supplied name or description of the G.PThe ScoreThreshold used in binary classification GQ 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.QThe ID assigned to the G during creation.RCreates a value of L4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:STSThe ID assigned to the GE during creation. This value should be identical to the value of the  MLModelID in the request.TThe response status code.LOPQMRSTUNQOPQRTSTUVWXYZ[\ LMNOPQRST NMOPQRLSTLOPQMRSTUNOPQRSTUVWXYZ[\(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRgRepresents 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: k smart constructor.hSee: i smart constructor.iCreates 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:jj0A user-supplied ID that uniquely identifies the G.kCreates 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:lml0A user-supplied ID that uniquely identifies the G5. This value should be identical to the value of the  MLModelID in the request.mThe response status code.gVWXhYZijjkmlmnopqrstughijklmihjkglmgVWXhYZijklmnopqrstu(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents the output of a  DeleteEvaluation_ operation. The output indicates that Amazon Machine Learning (Amazon ML) received the request.You 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 H5. This value should be identical to the value of the  EvaluationId in the request.The response status code.[\]^_[\]^_(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents the output of an  UpdateEvaluation operation.-You 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 HE during creation. This value should be identical to the value of the H in the request.The response status code.`abcde`abcde(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents 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 I4. This element can have one of the following values:PENDINGG - Amazon Machine Language (Amazon ML) submitted a request to create a I. INPROGRESS$ - The creation process is underway.FAILED - The request to create a I- 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 I2 was created. The time is expressed in epoch time.The ID assigned to the IA 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.XThe 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.KA JSON string that captures the splitting rearrangement requirement of the I.Undocumented member.The response status code.6fghijklmnopqrstuvwxyz{ fghijklmnopqrstuvwxyz{(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents the output of a  GetMLModel6 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 G4. This element can have one of the following values:PENDINGI - 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 G6. 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'Y - The number of times that the training process traverses the observations to build the GO. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes'o - 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 G2 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.XThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).$The MLModel ID which is same as the  MLModelId in the request.Undocumented member.;The schema used by all of the data files referenced by the I.Note9This parameter is provided as part of the verbose format.7The scoring threshold is used in binary classification GRs, and marks the boundary between a positive prediction and a negative prediction.iOutput values greater than or equal to the threshold receive a positive result from the MLModel, such as true^. Output values less than the threshold receive a negative response from the MLModel, such as false.$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 G1 category. The following are the available types:_REGRESSION -- Produces a numeric result. For example, "What listing price should a house have?"]BINARY -- Produces one of two possible results. For example, "Is this an e-commerce website?"oMULTICLASS -- Produces more than two possible results. For example, "Is this a HIGH, LOW or MEDIUM risk trade?"The response status code.8|}~!|}~(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents the output of an  UpdateBatchPrediction operation.-You 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 JE during creation. This value should be identical to the value of the BatchPredictionId in the request.The response status code.                      (c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR"Represents the output of a  DeleteBatchPrediction operation.You 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.$Creates a value of #4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:%%0A user-supplied ID that uniquely identifies the J.&Creates a value of "4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:'('0A user-supplied ID that uniquely identifies the J5. This value should be identical to the value of the BatchPredictionID in the request.(The response status code."#$%%&('()*+,-./0"#$%&'($#%&"'("#$%&'()*+,-./0(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR ;Represents the output of a  CreateMLModelJ operation, and is an acknowledgement that Amazon ML received the request.The  CreateMLModelI operation is asynchronous. You can poll for status updates by using the  GetMLModel operation and checking the  parameter.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>The data recipe for creating Gw. You must specify either the recipe or its URI. If you don t specify a recipe or its URI, Amazon ML creates a default.?WThe 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)A list of the training parameters in the G6. 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'U - Number of times that the training process traverses the observations to build the GO. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes'v - 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.B0A user-supplied ID that uniquely identifies the G.C.The category of supervised learning that this G/ 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.DThe I" that points to the training data.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:FGF0A user-supplied ID that uniquely identifies the G5. This value should be identical to the value of the  MLModelId in the request.GThe response status code. ;<=BCD>?@ABCDEGFGHIJKLMNO ;<=>?@ABCDEFG =<>?@ABCDE;FG;<=>?@ABCDEFGHIJKLMNO(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR ZRepresents the output of a  CreateDataSourceFromS3J operation, and is an acknowledgement that Amazon ML received the request.The  CreateDataSourceFromS3B operation is asynchronous. You can poll for updates by using the  GetBatchPrediction operation and checking the  parameter.See: a 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 II. The statistics are generated from the observation data referenced by a I5. Amazon ML uses the statistics internally during an G) training. This parameter must be set to true if the 'q needs to be used for G training_8A user-supplied identifier that uniquely identifies the I.`The data specification of a I:\DataLocationS3 - Amazon Simple Storage Service (Amazon S3) location of the observation data.1DataSchemaLocationS3 - Amazon S3 location of the  DataSchema.LDataSchema - A JSON string representing the schema. This is not required if  DataSchemaUri is specified.NDataRearrangement - A JSON string representing the splitting requirement of a  Datasource.ESample - ' "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"'aCreates 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:bcboA user-supplied ID that uniquely identifies the datasource. This value should be identical to the value of the  DataSourceID in the request.cThe response status code.Z[\_`]^_`acbcdefghijk Z[\]^_`abc \[]^_`aZbcZ[\]^_`abcdefghijk(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DR vRepresents the output of a  CreateDataSourceFromRedshiftJ operation, and is an acknowledgement that Amazon ML received the request.The  CreateDataSourceFromRedshiftB operation is asynchronous. You can poll for updates by using the  GetBatchPrediction operation and checking the  parameter.See: ~ smart constructor.wSee: x smart constructor.xCreates a value of w4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:yz{|}y+A user-supplied name or description of the I.zThe compute statistics for a II. The statistics are generated from the observation data referenced by a I2. Amazon ML uses the statistics internally during G) training. This parameter must be set to true if the 'q needs to be used for G training{0A 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.MSelectSqlQuery - 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.LDataSchema - A JSON string representing the schema. This is not required if  DataSchemaUri is specified.NDataRearrangement - 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 clusterLAn Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation~Creates a value of v4 with the minimum fields required to make a request.BUse one of the following lenses to modify other fields as desired:oA 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.vwx{|}yz{|}~ vwxyz{|}~ xwyz{|}~vvwxyz{|}~(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents 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 I5. This value should be identical to the value of the  DataSourceID in the request.The response status code.(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None !"05DRRepresents the output of an  UpdateDataSource operation.-You 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 IE during creation. This value should be identical to the value of the  DataSourceID in the request.The response status code.(c) 2013-2016 Brendan HayMozilla Public License, v. 2.0.%Brendan Hay <brendan.g.hay@gmail.com>auto-generatednon-portable (GHC extensions)None  !"#$%&'().*+,-/0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~+,-./0123456789:;<PQRSTUVWXYZ[\]^_`atuvwxyz{|}~     $%&'()*+,-./0123456789LMNOPQRSTghijklm     "#$%&'(;<=>?@ABCDEFGZ[\]^_`abcvwxyz{|}~$%&'9:012345678)*+,-./&'( !"#$%  JKLMNOPQRSTUVIWXYZ[\]^_`abcdefHghijklmnopqrGstuvwxyz{|}~FEDCBA@?>=<;#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[J\]^_`abcdefghijklmnopqrstuvwxyz{|}~!      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJK"LMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~                                                                                         ! " # $ % & ' ( ) * + , - . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D EFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./012345678 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{|}~(amazonka-ml-1.4.3-DbYWzKGDN8K1aNJlQiNb67!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 ddssrsResultsddssrsNextTokenddssrsResponseStatus#$fNFDataDescribeDataSourcesResponse$fToQueryDescribeDataSources$fToPathDescribeDataSources$fToJSONDescribeDataSources$fToHeadersDescribeDataSources$fNFDataDescribeDataSources$fHashableDescribeDataSources$fAWSRequestDescribeDataSources$fAWSPagerDescribeDataSources$fEqDescribeDataSources$fReadDescribeDataSources$fShowDescribeDataSources$fDataDescribeDataSources$fGenericDescribeDataSources$fEqDescribeDataSourcesResponse!$fReadDescribeDataSourcesResponse!$fShowDescribeDataSourcesResponse!$fDataDescribeDataSourcesResponse$$fGenericDescribeDataSourcesResponseDescribeMLModelsResponsedescribeMLModelsdmlmEQdmlmGE dmlmPrefixdmlmGTdmlmNE dmlmNextToken dmlmSortOrder dmlmLimitdmlmLTdmlmFilterVariabledmlmLEdescribeMLModelsResponsedmlmsrsResultsdmlmsrsNextTokendmlmsrsResponseStatus $fNFDataDescribeMLModelsResponse$fToQueryDescribeMLModels$fToPathDescribeMLModels$fToJSONDescribeMLModels$fToHeadersDescribeMLModels$fNFDataDescribeMLModels$fHashableDescribeMLModels$fAWSRequestDescribeMLModels$fAWSPagerDescribeMLModels$fEqDescribeMLModels$fReadDescribeMLModels$fShowDescribeMLModels$fDataDescribeMLModels$fGenericDescribeMLModels$fEqDescribeMLModelsResponse$fReadDescribeMLModelsResponse$fShowDescribeMLModelsResponse$fDataDescribeMLModelsResponse!$fGenericDescribeMLModelsResponseCreateRealtimeEndpointResponseCreateRealtimeEndpointcreateRealtimeEndpoint creMLModelIdcreateRealtimeEndpointResponsecrersRealtimeEndpointInfocrersMLModelIdcrersResponseStatus&$fNFDataCreateRealtimeEndpointResponse$fToQueryCreateRealtimeEndpoint$fToPathCreateRealtimeEndpoint$fToJSONCreateRealtimeEndpoint!$fToHeadersCreateRealtimeEndpoint$fNFDataCreateRealtimeEndpoint $fHashableCreateRealtimeEndpoint"$fAWSRequestCreateRealtimeEndpoint$fEqCreateRealtimeEndpoint$fReadCreateRealtimeEndpoint$fShowCreateRealtimeEndpoint$fDataCreateRealtimeEndpoint$fGenericCreateRealtimeEndpoint"$fEqCreateRealtimeEndpointResponse$$fReadCreateRealtimeEndpointResponse$$fShowCreateRealtimeEndpointResponse$$fDataCreateRealtimeEndpointResponse'$fGenericCreateRealtimeEndpointResponseDescribeEvaluationsResponsedescribeEvaluationsdeEQdeGEdePrefixdeGTdeNE deNextToken deSortOrderdeLimitdeLTdeFilterVariabledeLEdescribeEvaluationsResponse desrsResultsdesrsNextTokendesrsResponseStatus#$fNFDataDescribeEvaluationsResponse$fToQueryDescribeEvaluations$fToPathDescribeEvaluations$fToJSONDescribeEvaluations$fToHeadersDescribeEvaluations$fNFDataDescribeEvaluations$fHashableDescribeEvaluations$fAWSRequestDescribeEvaluations$fAWSPagerDescribeEvaluations$fEqDescribeEvaluations$fReadDescribeEvaluations$fShowDescribeEvaluations$fDataDescribeEvaluations$fGenericDescribeEvaluations$fEqDescribeEvaluationsResponse!$fReadDescribeEvaluationsResponse!$fShowDescribeEvaluationsResponse!$fDataDescribeEvaluationsResponse$$fGenericDescribeEvaluationsResponseGetEvaluationResponse GetEvaluation getEvaluationgeEvaluationIdgetEvaluationResponse gersStatusgersPerformanceMetricsgersLastUpdatedAt gersCreatedAtgersInputDataLocationS3 gersMLModelIdgersCreatedByIAMUsergersName gersLogURIgersEvaluationId gersMessagegersEvaluationDataSourceIdgersResponseStatus$fNFDataGetEvaluationResponse$fToQueryGetEvaluation$fToPathGetEvaluation$fToJSONGetEvaluation$fToHeadersGetEvaluation$fNFDataGetEvaluation$fHashableGetEvaluation$fAWSRequestGetEvaluation$fEqGetEvaluation$fReadGetEvaluation$fShowGetEvaluation$fDataGetEvaluation$fGenericGetEvaluation$fEqGetEvaluationResponse$fReadGetEvaluationResponse$fShowGetEvaluationResponse$fDataGetEvaluationResponse$fGenericGetEvaluationResponseCreateBatchPredictionResponseCreateBatchPredictioncreateBatchPredictioncbpBatchPredictionNamecbpBatchPredictionId cbpMLModelIdcbpBatchPredictionDataSourceId cbpOutputURIcreateBatchPredictionResponsecbprsBatchPredictionIdcbprsResponseStatus%$fNFDataCreateBatchPredictionResponse$fToQueryCreateBatchPrediction$fToPathCreateBatchPrediction$fToJSONCreateBatchPrediction $fToHeadersCreateBatchPrediction$fNFDataCreateBatchPrediction$fHashableCreateBatchPrediction!$fAWSRequestCreateBatchPrediction$fEqCreateBatchPrediction$fReadCreateBatchPrediction$fShowCreateBatchPrediction$fDataCreateBatchPrediction$fGenericCreateBatchPrediction!$fEqCreateBatchPredictionResponse#$fReadCreateBatchPredictionResponse#$fShowCreateBatchPredictionResponse#$fDataCreateBatchPredictionResponse&$fGenericCreateBatchPredictionResponseDeleteRealtimeEndpointResponseDeleteRealtimeEndpointdeleteRealtimeEndpoint dreMLModelIddeleteRealtimeEndpointResponsedrersRealtimeEndpointInfodrersMLModelIddrersResponseStatus&$fNFDataDeleteRealtimeEndpointResponse$fToQueryDeleteRealtimeEndpoint$fToPathDeleteRealtimeEndpoint$fToJSONDeleteRealtimeEndpoint!$fToHeadersDeleteRealtimeEndpoint$fNFDataDeleteRealtimeEndpoint $fHashableDeleteRealtimeEndpoint"$fAWSRequestDeleteRealtimeEndpoint$fEqDeleteRealtimeEndpoint$fReadDeleteRealtimeEndpoint$fShowDeleteRealtimeEndpoint$fDataDeleteRealtimeEndpoint$fGenericDeleteRealtimeEndpoint"$fEqDeleteRealtimeEndpointResponse$$fReadDeleteRealtimeEndpointResponse$$fShowDeleteRealtimeEndpointResponse$$fDataDeleteRealtimeEndpointResponse'$fGenericDeleteRealtimeEndpointResponsePredictResponsePredictpredict pMLModelIdpRecordpPredictEndpointpredictResponse prsPredictionprsResponseStatus$fNFDataPredictResponse$fToQueryPredict$fToPathPredict$fToJSONPredict$fToHeadersPredict$fNFDataPredict$fHashablePredict$fAWSRequestPredict $fEqPredict $fReadPredict $fShowPredict $fDataPredict$fGenericPredict$fEqPredictResponse$fReadPredictResponse$fShowPredictResponse$fDataPredictResponse$fGenericPredictResponseCreateEvaluationResponseCreateEvaluationcreateEvaluationceEvaluationNameceEvaluationId ceMLModelIdceEvaluationDataSourceIdcreateEvaluationResponsecersEvaluationIdcersResponseStatus $fNFDataCreateEvaluationResponse$fToQueryCreateEvaluation$fToPathCreateEvaluation$fToJSONCreateEvaluation$fToHeadersCreateEvaluation$fNFDataCreateEvaluation$fHashableCreateEvaluation$fAWSRequestCreateEvaluation$fEqCreateEvaluation$fReadCreateEvaluation$fShowCreateEvaluation$fDataCreateEvaluation$fGenericCreateEvaluation$fEqCreateEvaluationResponse$fReadCreateEvaluationResponse$fShowCreateEvaluationResponse$fDataCreateEvaluationResponse!$fGenericCreateEvaluationResponseCreateDataSourceFromRDSResponseCreateDataSourceFromRDScreateDataSourceFromRDScdsfrdsDataSourceNamecdsfrdsComputeStatisticscdsfrdsDataSourceIdcdsfrdsRDSDatacdsfrdsRoleARNcreateDataSourceFromRDSResponsecdsfrdsrsDataSourceIdcdsfrdsrsResponseStatus'$fNFDataCreateDataSourceFromRDSResponse $fToQueryCreateDataSourceFromRDS$fToPathCreateDataSourceFromRDS$fToJSONCreateDataSourceFromRDS"$fToHeadersCreateDataSourceFromRDS$fNFDataCreateDataSourceFromRDS!$fHashableCreateDataSourceFromRDS#$fAWSRequestCreateDataSourceFromRDS$fEqCreateDataSourceFromRDS$fReadCreateDataSourceFromRDS$fShowCreateDataSourceFromRDS$fDataCreateDataSourceFromRDS $fGenericCreateDataSourceFromRDS#$fEqCreateDataSourceFromRDSResponse%$fReadCreateDataSourceFromRDSResponse%$fShowCreateDataSourceFromRDSResponse%$fDataCreateDataSourceFromRDSResponse($fGenericCreateDataSourceFromRDSResponse DescribeBatchPredictionsResponsedescribeBatchPredictionsdbpEQdbpGE dbpPrefixdbpGTdbpNE dbpNextToken dbpSortOrderdbpLimitdbpLTdbpFilterVariabledbpLE describeBatchPredictionsResponse drsResults drsNextTokendrsResponseStatus($fNFDataDescribeBatchPredictionsResponse!$fToQueryDescribeBatchPredictions $fToPathDescribeBatchPredictions $fToJSONDescribeBatchPredictions#$fToHeadersDescribeBatchPredictions $fNFDataDescribeBatchPredictions"$fHashableDescribeBatchPredictions$$fAWSRequestDescribeBatchPredictions"$fAWSPagerDescribeBatchPredictions$fEqDescribeBatchPredictions$fReadDescribeBatchPredictions$fShowDescribeBatchPredictions$fDataDescribeBatchPredictions!$fGenericDescribeBatchPredictions$$fEqDescribeBatchPredictionsResponse&$fReadDescribeBatchPredictionsResponse&$fShowDescribeBatchPredictionsResponse&$fDataDescribeBatchPredictionsResponse)$fGenericDescribeBatchPredictionsResponsemLModelAvailablebatchPredictionAvailabledataSourceAvailableevaluationAvailableGetBatchPredictionResponseGetBatchPredictiongetBatchPredictiongbpBatchPredictionIdgetBatchPredictionResponse gbprsStatusgbprsLastUpdatedAtgbprsCreatedAtgbprsInputDataLocationS3gbprsMLModelId gbprsBatchPredictionDataSourceIdgbprsBatchPredictionIdgbprsCreatedByIAMUser gbprsName gbprsLogURI gbprsMessagegbprsOutputURIgbprsResponseStatus"$fNFDataGetBatchPredictionResponse$fToQueryGetBatchPrediction$fToPathGetBatchPrediction$fToJSONGetBatchPrediction$fToHeadersGetBatchPrediction$fNFDataGetBatchPrediction$fHashableGetBatchPrediction$fAWSRequestGetBatchPrediction$fEqGetBatchPrediction$fReadGetBatchPrediction$fShowGetBatchPrediction$fDataGetBatchPrediction$fGenericGetBatchPrediction$fEqGetBatchPredictionResponse $fReadGetBatchPredictionResponse $fShowGetBatchPredictionResponse $fDataGetBatchPredictionResponse#$fGenericGetBatchPredictionResponseUpdateMLModelResponse UpdateMLModel updateMLModelumlmMLModelNameumlmScoreThreshold umlmMLModelIdupdateMLModelResponseumlmrsMLModelIdumlmrsResponseStatus$fNFDataUpdateMLModelResponse$fToQueryUpdateMLModel$fToPathUpdateMLModel$fToJSONUpdateMLModel$fToHeadersUpdateMLModel$fNFDataUpdateMLModel$fHashableUpdateMLModel$fAWSRequestUpdateMLModel$fEqUpdateMLModel$fReadUpdateMLModel$fShowUpdateMLModel$fDataUpdateMLModel$fGenericUpdateMLModel$fEqUpdateMLModelResponse$fReadUpdateMLModelResponse$fShowUpdateMLModelResponse$fDataUpdateMLModelResponse$fGenericUpdateMLModelResponseDeleteMLModelResponse DeleteMLModel deleteMLModel dmlmMLModelIddeleteMLModelResponsedmlmrsMLModelIddmlmrsResponseStatus$fNFDataDeleteMLModelResponse$fToQueryDeleteMLModel$fToPathDeleteMLModel$fToJSONDeleteMLModel$fToHeadersDeleteMLModel$fNFDataDeleteMLModel$fHashableDeleteMLModel$fAWSRequestDeleteMLModel$fEqDeleteMLModel$fReadDeleteMLModel$fShowDeleteMLModel$fDataDeleteMLModel$fGenericDeleteMLModel$fEqDeleteMLModelResponse$fReadDeleteMLModelResponse$fShowDeleteMLModelResponse$fDataDeleteMLModelResponse$fGenericDeleteMLModelResponseDeleteEvaluationResponseDeleteEvaluationdeleteEvaluationdeEvaluationIddeleteEvaluationResponsedersEvaluationIddersResponseStatus $fNFDataDeleteEvaluationResponse$fToQueryDeleteEvaluation$fToPathDeleteEvaluation$fToJSONDeleteEvaluation$fToHeadersDeleteEvaluation$fNFDataDeleteEvaluation$fHashableDeleteEvaluation$fAWSRequestDeleteEvaluation$fEqDeleteEvaluation$fReadDeleteEvaluation$fShowDeleteEvaluation$fDataDeleteEvaluation$fGenericDeleteEvaluation$fEqDeleteEvaluationResponse$fReadDeleteEvaluationResponse$fShowDeleteEvaluationResponse$fDataDeleteEvaluationResponse!$fGenericDeleteEvaluationResponseUpdateEvaluationResponseUpdateEvaluationupdateEvaluationueEvaluationIdueEvaluationNameupdateEvaluationResponseuersEvaluationIduersResponseStatus 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