-      !"#$%&'()*+,-./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 [ \ ] ^ _ ` a b c d e f g h i j klmnopqrstuvwxyz{|}~None (024=BKT REGRESSION MULTICLASSBINARY Status Name  LastUpdatedAt IAMUser DataLocationS3 CreatedAtTrainingDataURITrainingDataSourceIdStatusRealtimeEndpointStatusName MLModelType LastUpdatedAtIAMUser CreatedAt AlgorithmPENDING INPROGRESS FAILED!DELETED" COMPLETED$sgd&dsc'asc/UPDATING0READY1NONE2FAILED4Status5Name6 MLModelId7 LastUpdatedAt8IAMUser9DataURI: DataSourceId; CreatedAt=PredictiveModelType> AlgorithmDStatusENameF MLModelIdG LastUpdatedAtHIAMUserIDataURIJ DataSourceIdK CreatedAtLVersion  2014-12-12( of the Amazon Machine Learning service.MB constructor.7The fields accessible through corresponding lenses are:N ::   OA constructor.7The fields accessible through corresponding lenses are:P ::  Q ::  .R ::  S ::  PCThe time that the request to create the real-time endpoint for the )4 was received. The time is expressed in epoch time.Q5The current status of the real-time endpoint for the )5. This element can have one of the following values:NONE - Endpoint does not exist or was previously deleted. READY - Endpoint is ready to be used for real-time predictions. UPDATING - Updating/creating the endpoint.RKThe URI that specifies where to send real-time prediction requests for the ).\Note The application must wait until the real-time endpoint is ready before using this URI.S;The maximum processing rate for the real-time endpoint for ),, measured in incoming requests per second.T@ constructor.7The fields accessible through corresponding lenses are:U ::  < V ::  W ::   X ::  V7The prediction label for either a BINARY or MULTICLASS ).X$The prediction value for REGRESSION ).Y? constructor.7The fields accessible through corresponding lenses are:Z :: [ ::  \ ::  ] ::  Z+The location of the data file(s) used by a |. The URI specifies a data file or an Amazon Simple Storage Service (Amazon S3) directory or bucket containing data files.[)Describes the splitting requirement of a  Datasource.\&Describes the schema for an Amazon S3 .]+Describes the schema Location in Amazon S3.^- constructor.7The fields accessible through corresponding lenses are: _ ::  ` ::  a ::  b :: c :: d :: e :: f :: []g :: h :: i :: _RDataRearrangement - A JSON string that represents the splitting requirement of a ._Sample - ' "{"randomSeed":"some-random-seed","splitting":{"percentBegin":10,"percentEnd":60}}"'`BA JSON string that represents the schema. This is not required if  DataSchemaUri is specified.aThe Amazon S3 location of the  DataSchema.bkThe AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon RDS database.cDescribes the  DatabaseName and InstanceIdentifier of an an Amazon RDS database.dThe 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.e^The Amazon S3 location for staging Amazon RDS data. The data retrieved from Amazon RDS using SelectSqlQuery is stored in this location.fThe 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.g@The query that is used to retrieve the observation data for the .hThe 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.iThe 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.j, constructor.7The fields accessible through corresponding lenses are:k ::  l ::  m ::  n ::  o ::  p ::  kThe 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.l:The database details required to connect to an Amazon RDS.nThe 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.o&The SQL query that is supplied during CreateDataSourceFromRDS. Returns only if Verbose is true in GetDataSourceInput.pThe 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.q+ constructor.7The fields accessible through corresponding lenses are:r :: s :: t* constructor.7The fields accessible through corresponding lenses are:u :: v :: w) constructor.7The fields accessible through corresponding lenses are:x ::  #y ::  z ::  { ::  A| ::  } ::  ~ ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   x The algorithm used to train the )'. The following algorithm is supported:fSGD -- Stochastic gradient descent. The goal of SGD is to minimize the gradient of the loss function.yThe time that the )2 was created. The time is expressed in epoch time.z$The AWS user account from which the ) was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.{The current endpoint of the ).|YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).}(The time of the most recent edit to the )'. The time is expressed in epoch time.~The ID assigned to the ) at creation.Identifies the )1 category. The following are the available types:5REGRESSION - Produces a numeric result. For example, "What listing price should a house have?". BINARY - Produces one of two possible results. For example, "Is this a child-friendly web site?". MULTICLASS - Produces more than two possible results. For example, "Is this a HIGH, LOW or MEDIUM risk trade?".=A description of the most recent details about accessing the ).+A user-supplied name or description of the ).(The time of the most recent edit to the ScoreThreshold'. The time is expressed in epoch time.The current status of an )5. This element can have one of the following values:PPENDING - Amazon Machine Learning (Amazon ML) submitted a request to create an )T. INPROGRESS - The creation process is underway. FAILED - The request to create an )v did not run to completion. It is not usable. COMPLETED - The creation process completed successfully. DELETED - The )( is marked as deleted. It is not usable.The ID of the training . The  CreateMLModel operation uses the TrainingDataSourceId.)A list of the training parameters in the )7. 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'V - Number of times that the training process traverses the observations to build the )P. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes'l - 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.( constructor.7The fields accessible through corresponding lenses are:  ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   ::  The ID of the 5 that points to the group of observations to predict.The ID assigned to the (B at creation. This value should be identical to the value of the BatchPredictionID in the request.The time that the (3 was created. The time is expressed in epoch time.&The AWS user account that invoked the (s. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).(The time of the most recent edit to the ('. The time is expressed in epoch time.The ID of the )$ that generated predictions for the ( request.XA description of the most recent details about processing the batch prediction request.+A user-supplied name or description of the (.The 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: :, //, /./, /../.The status of the (5. This element can have one of the following values:PENDINGr - 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.  COMPLETED: - The batch prediction process completed successfully. DELETED - The () is marked as deleted. It is not usable. constructor.7The fields accessible through corresponding lenses are: ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   ::  , ::   ::   ::  The parameter is true? if statistics need to be generated from the observation data.The time that the 2 was created. The time is expressed in epoch time.$The AWS user account from which the  was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.bThe location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a .=A JSON string that represents the splitting requirement of a  Datasource.FThe total number of observations contained in the data files that the  references.The ID that is assigned to the  during creation.(The time of the most recent edit to the ('. The time is expressed in epoch time.<A description of the most recent details about creating the .+A user-supplied name or description of the .+The number of data files referenced by the .The current status of the 5. This element can have one of the following values:OPENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a S. INPROGRESS - The creation process is underway. FAILED - The request to create a v did not run to completion. It is not usable. COMPLETED - The creation process completed successfully. DELETED - The ( is marked as deleted. It is not usable. constructor.7The fields accessible through corresponding lenses are: ::  :: The ID of an RDS DB instance. constructor.7The fields accessible through corresponding lenses are: ::  ::  constructor.7The fields accessible through corresponding lenses are: ::   ::   ::   :: * :: + ::  :: -Describes the splitting specifications for a .,Describes the schema for an Amazon Redshift .5Describes the schema location for an Amazon Redshift .vDescribes AWS Identity and Access Management (IAM) credentials that are used connect to the Amazon Redshift database.Describes the  DatabaseName and ClusterIdentifier for an Amazon Redshift .?Describes an Amazon S3 location to store the result set of the SelectSqlQuery query.ZDescribes the SQL Query to execute on an Amazon Redshift database for an Amazon Redshift . constructor.7The fields accessible through corresponding lenses are:  ::   ::   ::   ::   ::   ::   ::   ::   ::   ::  B ::  The time that the 2 was created. The time is expressed in epoch time.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.The ID of the  that is used to evaluate the ).The ID that is assigned to the  at creation.nThe location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.(The time of the most recent edit to the '. The time is expressed in epoch time.The ID of the )% that is the focus of the evaluation.>A description of the most recent details about evaluating the ).+A user-supplied name or description of the .Measurements of how well the )2 performed, using observations referenced by the N. One of the following metrics is returned, based on the type of the MLModel:BinaryAUC: A binary )G uses the Area Under the Curve (AUC) technique to measure performance.RegressionRMSE: A regression ) 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 )5 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&AmazonMachine Learning Developer Guide.QThe status of the evaluation. This element can have one of the following values:PENDINGK - Amazon Machine Learning (Amazon ML) submitted a request to evaluate an ).  INPROGRESS - The evaluation is underway. FAILED - The request to evaluate an )/ did not run to completion. It is not usable.  COMPLETED3 - The evaluation process completed successfully. DELETED - The ) is marked as deleted. It is not usable. constructor.7The fields accessible through corresponding lenses are: ::   ::  + ::  'The SQL query that is specified during CreateDataSourceFromRedshift. Returns only if Verbose is true in GetDataSourceInput.       !"#$%&'() !"#$%&'()*+,-./0*123+456,789:;<=->?@ABCDEFGHI./0123456789:;<=>?JKLMN@OPQRSATUVWXBYZCDEFGHIJKLMNOPQRSTUVWXYZZ[\]^cgbedhi_`abcdefghijklmnopqsrrstvuuvwxyz{|}~[\]^_`abcdefghijklmnopqrstuvwxyz{|}~  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~LCKJIHGFEDBMNAOPQRS@TUVWX?YZ[\]<>=3;:987654.210/-^_`abcdefghi,jklmnop+qrs*tuv)wxyz{|}~(%'&#$"!          "! #$%'&( ) !"#$%&'()*+,-./0*123+456,789:;<=- >?@ABCDEFGHI.210/3;:987654<>=?JKLMN@OPQRSATUVWXBYZCKJIHGFEDLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~[\]^_`abcdefghijklmnopqrstuvwxyz{|}~None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  :: The ID assigned to the ( during creation./A new user-supplied name or description of the (. constructor.7The fields accessible through corresponding lenses are: ::  The ID assigned to the (F during creation. This value should be identical to the value of the BatchPredictionId in the request. None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  :: The ID assigned to the  during creation./A new user-supplied name or description of the , that will replace the current description. constructor.7The fields accessible through corresponding lenses are: ::  The ID assigned to the F during creation. This value should be identical to the value of the  DataSourceID in the request. None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  :: The ID assigned to the  during creation./A new user-supplied name or description of the ( that will replace the current content. constructor.7The fields accessible through corresponding lenses are: ::  The ID assigned to the F during creation. This value should be identical to the value of the  in the request. None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  ::   ::  The ID assigned to the ) during creation.+A user-supplied name or description of the ).The ScoreThreshold used in binary classification )R 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 ) , such as true. Output values less than the ScoreThreshold& receive a negative response from the ) , such as false. constructor.7The fields accessible through corresponding lenses are: ::  The ID assigned to the )F during creation. This value should be identical to the value of the  MLModelID in the request.None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  ::  ::   A unique identifier of the ). constructor.7The fields accessible through corresponding lenses are: ::  @None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  ::  The ID assigned to the ) at creation.Specifies whether the  operation should return Recipe. If true, Recipe is returned. If false, Recipe is not returned. constructor.7The fields accessible through corresponding lenses are: ::   ::   ::  A ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   ::   The time that the )2 was created. The time is expressed in epoch time.$The AWS user account from which the ) was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.The current endpoint of the )YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).(The time of the most recent edit to the )'. The time is expressed in epoch time.-A link to the file that contains logs of the  CreateMLModel operation.$The MLModel ID which is same as the  MLModelId in the request.Identifies the )1 category. The following are the available types:0REGRESSION -- 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?" MULTICLASS -- Produces more than two possible results. For example, "Is this a HIGH, LOW or MEDIUM risk trade?";Description of the most recent details about accessing the ).+A user-supplied name or description of the ).$The recipe to use when training the ). 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.>Note This parameter is provided as part of the verbose format.;The schema used by all of the data files referenced by the .>Note This parameter is provided as part of the verbose format.7The scoring threshold is used in binary classification )Ss, 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 time of the most recent edit to the ScoreThreshold'. The time is expressed in epoch time.The current status of the )5. This element can have one of the following values:PENDINGJ - Amazon Machine Learning (Amazon ML) submitted a request to describe a ).  INPROGRESS - The request is processing. FAILED> - The request did not run to completion. It is not usable.  COMPLETED) - The request completed successfully. DELETED - The )) is marked as deleted. It is not usable.The ID of the training .)A list of the training parameters in the )7. 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'Z - The number of times that the training process traverses the observations to build the )P. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes'p - 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 33554432.4            None (024=BKT constructor.7The fields accessible through corresponding lenses are: :: The ID of the % to retrieve. The evaluation of each )Q is recorded and cataloged. The ID provides the means to access the information. constructor.7The fields accessible through corresponding lenses are:  ::   ::   ::   ::   ::    ::    ::    ::    ::    ::   ::  B ::  The time that the 2 was created. The time is expressed in epoch time.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.The  used for this evaluation.'The evaluation ID which is same as the  EvaluationId in the request.YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3). (The time of the most recent edit to the ('. The time is expressed in epoch time. -A link to the file that contains logs of the CreateEvaluation operation. The ID of the )& that was the focus of the evaluation. >A description of the most recent details about evaluating the ). +A user-supplied name or description of the .Measurements of how well the )1 performed using observations referenced by the D. One of the following metric is returned based on the type of the ):BinaryAUC: A binary )G uses the Area Under the Curve (AUC) technique to measure performance.RegressionRMSE: A regression ) 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 )5 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&AmazonMachine Learning Developer Guide.QThe status of the evaluation. This element can have one of the following values:PENDINGK - Amazon Machine Language (Amazon ML) submitted a request to evaluate an ).  INPROGRESS - The evaluation is underway. FAILED - The request to evaluate an )/ did not run to completion. It is not usable.  COMPLETED3 - The evaluation process completed successfully. DELETED - The ) is marked as deleted. It is not usable.&!"#$%&'()*+,-./     012345           !"#$%&'()*+,-./     012345 None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  ::  The ID assigned to the  at creation.Specifies whether the  operation should return DataSourceSchema. If true, DataSourceSchema is returned. If false, DataSourceSchema is not returned. constructor.7The fields accessible through corresponding lenses are: ::   ::   ::   ::   ::   ::   ::   ::   ::   ::    ::  ! ::  " ::  # ::  ,$ ::  % ::  & ::  The parameter is true? if statistics need to be generated from the observation data.The time that the 2 was created. The time is expressed in epoch time.$The AWS user account from which the  was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).KA JSON string that captures the splitting rearrangement requirement of the .1The total size of observations in the data files.The ID assigned to the B at creation. This value should be identical to the value of the  DataSourceId in the request.1The schema used by all of the data files of this .>Note This parameter is provided as part of the verbose format.(The time of the most recent edit to the '. The time is expressed in epoch time.6A link to the file containining logs of either create  operation. >The description of the most recent details about creating the .!+A user-supplied name or description of the ."+The number of data files referenced by the .&The current status of the 5. This element can have one of the following values:PENDINGH - Amazon Machine Language (Amazon ML) submitted a request to create a .  INPROGRESS& - The creation process is underway. FAILED - The request to create a 0 did not run to completion. It is not usable.  COMPLETED1 - The creation process completed successfully. DELETED - The ( is marked as deleted. It is not usable.26789:;<=>?@ABCDEFGHIJ !"#$%&KLMNOP !"#$%& !"#$%&6789:;<=>?@ABCDEFGHIJ !"#$%&KLMNOP None (024=BKT)( constructor.7The fields accessible through corresponding lenses are:* :: *An ID assigned to the ( at creation.+' constructor.7The fields accessible through corresponding lenses are: , ::  - ::  . ::  / ::  0 ::  1 ::  2 ::  3 ::  4 ::  5 ::  6 ::  7 ::  ,The ID of the  that was used to create the (.-An ID assigned to the (B at creation. This value should be identical to the value of the BatchPredictionID in the request..The time when the (3 was created. The time is expressed in epoch time./&The AWS user account that invoked the (s. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.0YThe location of the data file or directory in Amazon Simple Storage Service (Amazon S3).1$The time of the most recent edit to ('. The time is expressed in epoch time.2-A link to the file that contains logs of the CreateBatchPrediction operation.3The ID of the )$ that generated predictions for the ( request.4XA description of the most recent details about processing the batch prediction request.5+A user-supplied name or description of the (.6SThe location of an Amazon S3 bucket or directory to receive the operation results.7The status of the (+, 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.  COMPLETED: - The batch prediction process completed successfully. DELETED - The () is marked as deleted. It is not usable.&'QRSTUVWXYZ[\](^_)**+,-./01234567`abcde'()*+,-./01234567()*'+,-./01234567' QRSTUVWXYZ[\](^_)*+,-./01234567`abcde None (024=BKT:9 constructor.7The fields accessible through corresponding lenses are: ; ::  < ::  = ::  > ::  ? ::  @ ::  A ::  fB ::  C ::  D ::  E ::  %;The equal to operator. The ) results will have FilterVariable5 values that exactly match the value specified with g.<7Use one of the following variables to filter a list of ): CreatedAt - Sets the search criteria to ) creation date. h - Sets the search criteria to ) status. Name0 - Sets the search criteria to the contents of ) Name. IAMUserB - Sets the search criteria to the user account that invoked the ) creation. TrainingDataSourceId$ - Sets the search criteria to the  used to train one or more ). .# - Sets the search criteria to the ) real-time endpoint status.  - Sets the search criteria to )- type: binary, regression, or multi-class. #6 - Sets the search criteria to the algorithm that the ) uses. TrainingDataURID - Sets the search criteria to the data file(s) used in training a )j. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.=+The greater than or equal to operator. The ) results will have FilterVariableC values that are greater than or equal to the value specified with GE.>The greater than operator. The ) results will have FilterVariable8 values that are greater than the value specified with i.?(The less than or equal to operator. The ) results will have FilterVariable@ values that are less than or equal to the value specified with LE.@The less than operator. The ) results will have FilterVariable5 values that are less than the value specified with j.AThe number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.BThe not equal to operator. The ) results will have FilterVariable/ values not equal to the value specified with NE.C,The ID of the page in the paginated results.D?A string that is found at the beginning of a variable, such as Name or Id.For example, an ) could have the Name '2014-09-09-HolidayGiftMailer'. To search for this ) , select Name for the FilterVariable+ and any of the following strings for the Prefix:2014-09 2014-09-092014-09-09-HolidayELA two-value parameter that determines the sequence of the resulting list of ).asc5 - Arranges the list in ascending order (A-Z, 0-9). dscM - Arranges the list in descending order (Z-A, 9-0). Results are sorted by FilterVariable.F8 constructor.7The fields accessible through corresponding lenses are:G ::  H :: [)]G`The ID of the next page in the paginated results that indicates at least one more page follows.H A list of ) that meet the search criteria.'8klm9nopqrstuvwxy:;<=>?@ABCDEFGHz{|}~89:;<=>?@ABCDEFGH9:;<=>?@ABCDE8FGH8klm9 nopqrstuvwxy:;<=>?@ABCDEFGHz{|}~ None (024=BKTKJ constructor.7The fields accessible through corresponding lenses are: L ::  M ::  3N ::  O ::  P ::  Q ::  R ::  fS ::  T ::  U ::  V ::  %LThe equal to operator. The  results will have FilterVariable5 values that exactly match the value specified with g.M6Use one of the following variable to filter a list of  objects: CreatedAt# - Sets the search criteria to the  creation date. h# - Sets the search criteria to the  status. Name0 - Sets the search criteria to the contents of  Name. IAMUserA - Sets the search criteria to the user account that invoked an .  MLModelId$ - Sets the search criteria to the ) that was evaluated.  DataSourceId$ - Sets the search criteria to the  used in . DataUri9 - Sets the search criteria to the data file(s) used in l. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.N+The greater than or equal to operator. The  results will have FilterVariableC values that are greater than or equal to the value specified with GE.OThe greater than operator. The  results will have FilterVariable8 values that are greater than the value specified with i.P(The less than or equal to operator. The  results will have FilterVariable@ values that are less than or equal to the value specified with LE.QThe less than operator. The  results will have FilterVariable5 values that are less than the value specified with j.RThe maximum number of  to include in the result.SThe not equal to operator. The  results will have FilterVariable/ values not equal to the value specified with NE.T,The ID of the page in the paginated results.U?A string that is found at the beginning of a variable, such as Name or Id.For example, an  could have the Name '2014-09-09-HolidayGiftMailer'. To search for this  , select Name for the FilterVariable+ and any of the following strings for the Prefix:2014-09 2014-09-092014-09-09-HolidayVLA two-value parameter that determines the sequence of the resulting list of .asc5 - Arranges the list in ascending order (A-Z, 0-9). dscM - Arranges the list in descending order (Z-A, 9-0). Results are sorted by FilterVariable.WI constructor.7The fields accessible through corresponding lenses are:X ::  Y :: []X`The ID of the next page in the paginated results that indicates at least one more page follows.Y A list of  that meet the search criteria.'IJKLMNOPQRSTUVWXYIJKLMNOPQRSTUVWXYJKLMNOPQRSTUVIWXYIJ KLMNOPQRSTUVWXY None (024=BKT\[ constructor.7The fields accessible through corresponding lenses are: ] ::  ^ ::  _ ::  ` ::  a ::  b ::  c ::  fd ::  e ::  f ::  g ::  %]The equal to operator. The  results will have FilterVariable5 values that exactly match the value specified with g.^7Use one of the following variables to filter a list of : CreatedAt - Sets the search criteria to  creation dates. h - Sets the search criteria to  statuses. Name0 - Sets the search criteria to the contents of  Name. DataUriI - Sets the search criteria to the URI of data files used to create the m. The URI can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory. IAMUserB - Sets the search criteria to the user account that invoked the  creation._+The greater than or equal to operator. The  results will have FilterVariableC values that are greater than or equal to the value specified with GE.`The greater than operator. The  results will have FilterVariable8 values that are greater than the value specified with i.a(The less than or equal to operator. The  results will have FilterVariable@ values that are less than or equal to the value specified with LE.bThe less than operator. The  results will have FilterVariable5 values that are less than the value specified with j.cThe maximum number of  to include in the result.dThe not equal to operator. The  results will have FilterVariable/ values not equal to the value specified with NE.e,The ID of the page in the paginated results.f?A string that is found at the beginning of a variable, such as Name or Id.For example, a  could have the Name '2014-09-09-HolidayGiftMailer'. To search for this  , select Name for the FilterVariable+ and any of the following strings for the Prefix:2014-09 2014-09-092014-09-09-HolidaygLA two-value parameter that determines the sequence of the resulting list of .asc5 - Arranges the list in ascending order (A-Z, 0-9). dscM - Arranges the list in descending order (Z-A, 9-0). Results are sorted by FilterVariable.hZ constructor.7The fields accessible through corresponding lenses are:i ::  j :: []i_An ID of the next page in the paginated results that indicates at least one more page follows.j A list of  that meet the search criteria.'Z[\]^_`abcdefghijZ[\]^_`abcdefghij[\]^_`abcdefgZhijZ[ \]^_`abcdefghijNone (024=BKTml constructor.7The fields accessible through corresponding lenses are: n ::  o ::  Cp ::  q ::  r ::  s ::  t ::  fu ::  v ::  w ::  x ::  %nThe equal to operator. The ( results will have FilterVariable5 values that exactly match the value specified with g.o7Use one of the following variables to filter a list of (: CreatedAt# - Sets the search criteria to the ( creation date. h# - Sets the search criteria to the ( status. Name4 - Sets the search criteria to the contents of the ( Name. IAMUserA - Sets the search criteria to the user account that invoked the ( creation.  MLModelId# - Sets the search criteria to the ) used in the (.  DataSourceId# - Sets the search criteria to the  used in the (. DataURI< - Sets the search criteria to the data file(s) used in the (k. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.p+The greater than or equal to operator. The ( results will have FilterVariableC values that are greater than or equal to the value specified with GE.qThe greater than operator. The ( results will have FilterVariable7 values that are greater than the value specified with i.r(The less than or equal to operator. The ( results will have FilterVariable@ values that are less than or equal to the value specified with LE.sThe less than operator. The ( results will have FilterVariable5 values that are less than the value specified with j.tThe number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.uThe not equal to operator. The ( results will have FilterVariable. values not equal to the value specified with NE.v+An ID of the page in the paginated results.w?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 ( , select Name for the FilterVariable+ and any of the following strings for the Prefix:2014-09 2014-09-092014-09-09-HolidayxLA two-value parameter that determines the sequence of the resulting list of )s.asc5 - Arranges the list in ascending order (A-Z, 0-9). dscM - Arranges the list in descending order (Z-A, 9-0). Results are sorted by FilterVariable.yk constructor.7The fields accessible through corresponding lenses are:z ::  { :: [(]z`The ID of the next page in the paginated results that indicates at least one more page follows.{ A list of (' objects that meet the search criteria.'klmnopqrstuvwxyz{klmnopqrstuvwxyz{lmnopqrstuvwxkyz{kl mnopqrstuvwxyz{None (024=BKT~} constructor.7The fields accessible through corresponding lenses are: :: The ID assigned to the ) during creation.| constructor.7The fields accessible through corresponding lenses are: ::   ::  A0A user-supplied ID that uniquely identifies the )6. This value should be identical to the value of the  MLModelId in the request. The endpoint information of the )|}~|}~}~| |}~None (024=BKT constructor.7The fields accessible through corresponding lenses are: :: 0A user-supplied ID that uniquely identifies the ). constructor.7The fields accessible through corresponding lenses are: ::  0A user-supplied ID that uniquely identifies the )6. This value should be identical to the value of the  MLModelID in the request. None (024=BKT constructor.7The fields accessible through corresponding lenses are: :: 0A user-supplied ID that uniquely identifies the  to delete. constructor.7The fields accessible through corresponding lenses are: ::  0A user-supplied ID that uniquely identifies the 6. This value should be identical to the value of the  EvaluationId in the request. None (024=BKT constructor.7The fields accessible through corresponding lenses are: :: 0A user-supplied ID that uniquely identifies the . constructor.7The fields accessible through corresponding lenses are: ::  0A user-supplied ID that uniquely identifies the 6. This value should be identical to the value of the  DataSourceID in the request. None (024=BKT constructor.7The fields accessible through corresponding lenses are: :: 0A user-supplied ID that uniquely identifies the (. constructor.7The fields accessible through corresponding lenses are: ::  0A user-supplied ID that uniquely identifies the (6. This value should be identical to the value of the BatchPredictionID in the request. None (024=BKT constructor.7The fields accessible through corresponding lenses are: :: The ID assigned to the ) during creation. constructor.7The fields accessible through corresponding lenses are: ::   ::  A0A user-supplied ID that uniquely identifies the )6. This value should be identical to the value of the  MLModelId in the request. The endpoint information of the ) None (024=BKT  constructor.7The fields accessible through corresponding lenses are: ::  ::   ::  ::    ::   ::   :: 0A user-supplied ID that uniquely identifies the ).+A user-supplied name or description of the )..The category of supervised learning that this )0 will address. Choose from the following types:Choose  REGRESSION if the )2 will be used to predict a numeric value. Choose BINARY if the )( result has two possible values. Choose  MULTICLASS if the )J 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.)A list of the training parameters in the )7. 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'V - Number of times that the training process traverses the observations to build the )P. The value is an integer that ranges from 1 to 10000. The default value is 10.'sgd.maxMLModelSizeInBytes'w - 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.The data recipe for creating )y. 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 ) 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.The " that points to the training data. constructor.7The fields accessible through corresponding lenses are: ::  0A user-supplied ID that uniquely identifies the )6. This value should be identical to the value of the  MLModelId in the request.            None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  ::  ::   :: The ID of the ' for the evaluation. The schema of the + must match the schema used to create the ).0A user-supplied ID that uniquely identifies the .+A user-supplied name or description of the .The ID of the ) to evaluate. The schema used in creating the ) must match the schema of the  used in the . constructor.7The fields accessible through corresponding lenses are: ::  2The user-supplied ID that uniquely identifies the 6. This value should be identical to the value of the  EvaluationId in the request.  None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::   ::  ::   :: ?The compute statistics for a J. The statistics are generated from the observation data referenced by a 6. Amazon ML uses the statistics internally during an )* training. This parameter must be set to true if the ''DataSource'' needs to be used for ) training8A user-supplied identifier that uniquely identifies the .+A user-supplied name or description of the .The data specification of a :]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.ODataRearrangement - A JSON string representing the splitting requirement of a  Datasource._Sample - ' "{"randomSeed":"some-random-seed","splitting":{"percentBegin":10,"percentEnd":60}}"' constructor.7The fields accessible through corresponding lenses are: ::  pA user-supplied ID that uniquely identifies the datasource. This value should be identical to the value of the  DataSourceID in the request. !"#$%&'()*   !"#$%&'()*None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::   ::  ::   ::  :: The compute statistics for a J. The statistics are generated from the observation data referenced by a 3. Amazon ML uses the statistics internally during )) training. This parameter must be set to true if the ''DataSource'' needs to be used for ) training0A user-supplied ID that uniquely identifies the .+A user-supplied name or description of the .-The data specification of an Amazon Redshift :DatabaseInformation - '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.ODataRearrangement - A JSON string representing the splitting requirement of a  Datasource._Sample - ' "{"randomSeed":"some-random-seed","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 constructor.7The fields accessible through corresponding lenses are: ::  pA user-supplied ID that uniquely identifies the datasource. This value should be identical to the value of the  DataSourceID in the request.+,-./012345678  +,-./012345678None (024=BKT constructor.7The fields accessible through corresponding lenses are: ::   ::  ::   :: - :: The compute statistics for a J. The statistics are generated from the observation data referenced by a 6. Amazon ML uses the statistics internally during an )* training. This parameter must be set to true if the ''DataSource'' needs to be used for ) training.0A user-supplied ID that uniquely identifies the C. Typically, an Amazon Resource Number (ARN) becomes the ID for a .+A user-supplied name or description of the .(The data specification of an Amazon RDS :DatabaseInformation - '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.gS3StagingLocation - 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.ODataRearrangement - A JSON string representing the splitting requirement of a  Datasource._Sample - ' "{"randomSeed":"some-random-seed","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. constructor.7The fields accessible through corresponding lenses are: ::  pA user-supplied ID that uniquely identifies the datasource. This value should be identical to the value of the  DataSourceID in the request.9:;<=>?@ABCDEF  9:;<=>?@ABCDEFNone (024=BKT constructor.7The fields accessible through corresponding lenses are: ::  ::  ::   ::  :: The ID of the 5 that points to the group of observations to predict.0A user-supplied ID that uniquely identifies the (.+A user-supplied name or description of the (. BatchPredictionName& can only use the UTF-8 character set.The ID of the )? that will generate predictions for the group of observations.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 LearningDeveloper Guide. constructor.7The fields accessible through corresponding lenses are: ::  0A user-supplied ID that uniquely identifies the (/. This value is identical to the value of the BatchPredictionId in the request.GHIJKLMNOPQRST  GHIJKLMNOPQRSTNone  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~U !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,- . / 0 1 2 3 4 5 6 7 8 9 : ; < = > ? @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z [ \ ] ^ _ ` a b c d e f g h i j k l m n o p q r s t u v w x y z { | } ~                 #$% !"#$8%&9'(:)*+,-./01234567F89:;<=>?@ABGCDEFGHIJKLMNOPQRHSTIUVJWXYZ[\K]^_`abcdefg]hijk^lmno_pqrs`tuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@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 E [ \ ] ^ _ ` a b c d e f F g h i j k l mnop qrst u v V w x W y z { | } ~             g   h                   x   y                        !"#$%&'()*+,-./0123456789:;<=>?@Aamazonka-ml-0.3.5!Network.AWS.MachineLearning.Types1Network.AWS.MachineLearning.UpdateBatchPrediction,Network.AWS.MachineLearning.UpdateDataSource,Network.AWS.MachineLearning.UpdateEvaluation)Network.AWS.MachineLearning.UpdateMLModel#Network.AWS.MachineLearning.Predict&Network.AWS.MachineLearning.GetMLModel)Network.AWS.MachineLearning.GetEvaluation)Network.AWS.MachineLearning.GetDataSource.Network.AWS.MachineLearning.GetBatchPrediction,Network.AWS.MachineLearning.DescribeMLModels/Network.AWS.MachineLearning.DescribeEvaluations/Network.AWS.MachineLearning.DescribeDataSources4Network.AWS.MachineLearning.DescribeBatchPredictions2Network.AWS.MachineLearning.DeleteRealtimeEndpoint)Network.AWS.MachineLearning.DeleteMLModel,Network.AWS.MachineLearning.DeleteEvaluation,Network.AWS.MachineLearning.DeleteDataSource1Network.AWS.MachineLearning.DeleteBatchPrediction2Network.AWS.MachineLearning.CreateRealtimeEndpoint)Network.AWS.MachineLearning.CreateMLModel,Network.AWS.MachineLearning.CreateEvaluation1Network.AWS.MachineLearning.CreateDataSourceFromS8Network.AWS.MachineLearning.CreateDataSourceFromRedshift3Network.AWS.MachineLearning.CreateDataSourceFromRDS1Network.AWS.MachineLearning.CreateBatchPredictionNetwork.AWS.MachineLearningamazonka-core-0.3.5Network.AWS.Error JSONError MLModelType Regression MulticlassBinaryRedshiftMetadata EvaluationRedshiftDataSpecDataSourceFilterVariable DataStatusDataNameDataLastUpdatedAt DataIAMUserDataDataLocationS3 DataCreatedAtMLModelFilterVariableMLMFVTrainingDataURIMLMFVTrainingDataSourceId MLMFVStatusMLMFVRealtimeEndpointStatus MLMFVNameMLMFVMLModelTypeMLMFVLastUpdatedAt MLMFVIAMUserMLMFVCreatedAtMLMFVAlgorithmRDSDatabaseCredentials RDSDatabase DataSource EntityStatus ESPending ESInprogressESFailed ESDeleted ESCompleted AlgorithmSgd SortOrderDscAscBatchPredictionMLModelRedshiftDatabaseCredentialsRedshiftDatabase RDSMetadata RDSDataSpecRealtimeEndpointStatusUpdatingReadyNoneFailedEvaluationFilterVariable EvalStatusEvalName EvalMLModelIdEvalLastUpdatedAt EvalIAMUser EvalDataURIEvalDataSourceId EvalCreatedAtDetailsAttributesDAPredictiveModelType DAAlgorithm S3DataSpec PredictionRealtimeEndpointInfoPerformanceMetricsBatchPredictionFilterVariable BatchStatus BatchNameBatchMLModelIdBatchLastUpdatedAt BatchIAMUser BatchDataURIBatchDataSourceIdBatchCreatedAtMachineLearningperformanceMetrics pmPropertiesrealtimeEndpointInfo reiCreatedAtreiEndpointStatusreiEndpointUrlreiPeakRequestsPerSecond predictionpDetailspPredictedLabelpPredictedScorespPredictedValue s3DataSpecsdsDataLocationS3sdsDataRearrangement sdsDataSchemasdsDataSchemaLocationS3 rdsdataSpecrdsdsDataRearrangementrdsdsDataSchemardsdsDataSchemaUrirdsdsDatabaseCredentialsrdsdsDatabaseInformationrdsdsResourceRolerdsdsS3StagingLocationrdsdsSecurityGroupIdsrdsdsSelectSqlQueryrdsdsServiceRole rdsdsSubnetId rdsmetadatardsmDataPipelineId rdsmDatabaserdsmDatabaseUserNamerdsmResourceRolerdsmSelectSqlQueryrdsmServiceRoleredshiftDatabaserdClusterIdentifierrdDatabaseNameredshiftDatabaseCredentials rdcPassword rdcUsernamemlmodel mlmAlgorithm mlmCreatedAtmlmCreatedByIamUsermlmEndpointInfomlmInputDataLocationS3mlmLastUpdatedAt mlmMLModelIdmlmMLModelType mlmMessagemlmNamemlmScoreThresholdmlmScoreThresholdLastUpdatedAtmlmSizeInBytes mlmStatusmlmTrainingDataSourceIdmlmTrainingParametersbatchPredictionbpBatchPredictionDataSourceIdbpBatchPredictionId bpCreatedAtbpCreatedByIamUserbpInputDataLocationS3bpLastUpdatedAt bpMLModelId bpMessagebpName bpOutputUribpStatus dataSourcedsComputeStatistics dsCreatedAtdsCreatedByIamUserdsDataLocationS3dsDataRearrangementdsDataSizeInBytesdsDataSourceIddsLastUpdatedAt dsMessagedsNamedsNumberOfFiles dsRDSMetadatadsRedshiftMetadata dsRoleARNdsStatus rdsdatabaserdsdDatabaseNamerdsdInstanceIdentifierrdsdatabaseCredentials rdsdcPassword rdsdcUsernameredshiftDataSpecrdsDataRearrangement rdsDataSchemardsDataSchemaUrirdsDatabaseCredentialsrdsDatabaseInformationrdsS3StagingLocationrdsSelectSqlQuery evaluation eCreatedAteCreatedByIamUsereEvaluationDataSourceId eEvaluationIdeInputDataLocationS3eLastUpdatedAt eMLModelIdeMessageeNameePerformanceMetricseStatusredshiftMetadatarmDatabaseUserNamermRedshiftDatabasermSelectSqlQueryUpdateBatchPredictionResponseUpdateBatchPredictionupdateBatchPredictionubpBatchPredictionIdubpBatchPredictionNameupdateBatchPredictionResponseubprBatchPredictionIdUpdateDataSourceResponseUpdateDataSourceupdateDataSourceudsDataSourceIdudsDataSourceNameupdateDataSourceResponseudsrDataSourceIdUpdateEvaluationResponseUpdateEvaluationupdateEvaluationueEvaluationIdueEvaluationNameupdateEvaluationResponseuerEvaluationIdUpdateMLModelResponse UpdateMLModel updateMLModel umlmMLModelIdumlmMLModelNameumlmScoreThresholdupdateMLModelResponseumlmrMLModelIdPredictResponsePredictpredict pMLModelIdpPredictEndpointpRecordpredictResponse prPredictionGetMLModelResponse GetMLModel getMLModel gmlmMLModelId gmlmVerbosegetMLModelResponsegmlmrCreatedAtgmlmrCreatedByIamUsergmlmrEndpointInfogmlmrInputDataLocationS3gmlmrLastUpdatedAt gmlmrLogUrigmlmrMLModelIdgmlmrMLModelType gmlmrMessage gmlmrName gmlmrRecipe gmlmrSchemagmlmrScoreThreshold gmlmrScoreThresholdLastUpdatedAtgmlmrSizeInBytes gmlmrStatusgmlmrTrainingDataSourceIdgmlmrTrainingParametersGetEvaluationResponse GetEvaluation getEvaluationgeEvaluationIdgetEvaluationResponse gerCreatedAtgerCreatedByIamUsergerEvaluationDataSourceIdgerEvaluationIdgerInputDataLocationS3gerLastUpdatedAt gerLogUri gerMLModelId gerMessagegerNamegerPerformanceMetrics gerStatusGetDataSourceResponse GetDataSource getDataSourcegdsDataSourceId gdsVerbosegetDataSourceResponsegdsrComputeStatistics gdsrCreatedAtgdsrCreatedByIamUsergdsrDataLocationS3gdsrDataRearrangementgdsrDataSizeInBytesgdsrDataSourceIdgdsrDataSourceSchemagdsrLastUpdatedAt gdsrLogUri gdsrMessagegdsrNamegdsrNumberOfFilesgdsrRDSMetadatagdsrRedshiftMetadata gdsrRoleARN gdsrStatusGetBatchPredictionResponseGetBatchPredictiongetBatchPredictiongbpBatchPredictionIdgetBatchPredictionResponsegbprBatchPredictionDataSourceIdgbprBatchPredictionId gbprCreatedAtgbprCreatedByIamUsergbprInputDataLocationS3gbprLastUpdatedAt gbprLogUri gbprMLModelId gbprMessagegbprName gbprOutputUri gbprStatusDescribeMLModelsResponseDescribeMLModelsdescribeMLModelsdmlmEQdmlmFilterVariabledmlmGEdmlmGTdmlmLEdmlmLT dmlmLimitdmlmNE dmlmNextToken dmlmPrefix dmlmSortOrderdescribeMLModelsResponsedmlmrNextToken dmlmrResultsDescribeEvaluationsResponseDescribeEvaluationsdescribeEvaluationsdeEQdeFilterVariabledeGEdeGTdeLEdeLTdeLimitdeNE deNextTokendePrefix deSortOrderdescribeEvaluationsResponse derNextToken derResultsDescribeDataSourcesResponseDescribeDataSourcesdescribeDataSourcesddsEQddsFilterVariableddsGEddsGTddsLEddsLTddsLimitddsNE ddsNextToken ddsPrefix ddsSortOrderdescribeDataSourcesResponse ddsrNextToken ddsrResults DescribeBatchPredictionsResponseDescribeBatchPredictionsdescribeBatchPredictionsdbpEQdbpFilterVariabledbpGEdbpGTdbpLEdbpLTdbpLimitdbpNE dbpNextToken dbpPrefix dbpSortOrder describeBatchPredictionsResponse dbprNextToken dbprResultsDeleteRealtimeEndpointResponseDeleteRealtimeEndpointdeleteRealtimeEndpoint dreMLModelIddeleteRealtimeEndpointResponse drerMLModelIddrerRealtimeEndpointInfoDeleteMLModelResponse DeleteMLModel deleteMLModel dmlmMLModelIddeleteMLModelResponsedmlmrMLModelIdDeleteEvaluationResponseDeleteEvaluationdeleteEvaluationdeEvaluationIddeleteEvaluationResponsederEvaluationIdDeleteDataSourceResponseDeleteDataSourcedeleteDataSourceddsDataSourceIddeleteDataSourceResponseddsrDataSourceIdDeleteBatchPredictionResponseDeleteBatchPredictiondeleteBatchPredictiondbpBatchPredictionIddeleteBatchPredictionResponsedbprBatchPredictionIdCreateRealtimeEndpointResponseCreateRealtimeEndpointcreateRealtimeEndpoint creMLModelIdcreateRealtimeEndpointResponse crerMLModelIdcrerRealtimeEndpointInfoCreateMLModelResponse CreateMLModel createMLModel cmlmMLModelIdcmlmMLModelNamecmlmMLModelTypecmlmParameters cmlmRecipe cmlmRecipeUricmlmTrainingDataSourceIdcreateMLModelResponsecmlmrMLModelIdCreateEvaluationResponseCreateEvaluationcreateEvaluationceEvaluationDataSourceIdceEvaluationIdceEvaluationName ceMLModelIdcreateEvaluationResponsecerEvaluationIdCreateDataSourceFromS3ResponseCreateDataSourceFromS3createDataSourceFromS3cdsfsComputeStatisticscdsfsDataSourceIdcdsfsDataSourceName cdsfsDataSpeccreateDataSourceFromS3ResponsecdsfsrDataSourceId$CreateDataSourceFromRedshiftResponseCreateDataSourceFromRedshiftcreateDataSourceFromRedshiftcdsfrComputeStatisticscdsfrDataSourceIdcdsfrDataSourceName cdsfrDataSpec cdsfrRoleARN$createDataSourceFromRedshiftResponsecdsfrrDataSourceIdCreateDataSourceFromRDSResponseCreateDataSourceFromRDScreateDataSourceFromRDScdsfrdsComputeStatisticscdsfrdsDataSourceIdcdsfrdsDataSourceNamecdsfrdsRDSDatacdsfrdsRoleARNcreateDataSourceFromRDSResponsecdsfrdsrDataSourceIdCreateBatchPredictionResponseCreateBatchPredictioncreateBatchPredictioncbpBatchPredictionDataSourceIdcbpBatchPredictionIdcbpBatchPredictionName cbpMLModelId cbpOutputUricreateBatchPredictionResponsecbprBatchPredictionIdunordered-containers-0.2.5.1Data.HashMap.BaseHashMap text-1.2.1.1Data.Text.InternalTextbase Data.MaybeMaybe time-1.4.2Data.Time.Clock.UTCUTCTimeghc-prim GHC.TypesIntDouble integer-gmpGHC.Integer.TypeIntegerBool_rmDatabaseUserName_rmRedshiftDatabase_rmSelectSqlQuery _eCreatedAt_eCreatedByIamUser_eEvaluationDataSourceId_eEvaluationId_eInputDataLocationS3_eLastUpdatedAt _eMLModelId 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_rdcUsername_rdClusterIdentifier_rdDatabaseName_rdsmDataPipelineId _rdsmDatabase_rdsmDatabaseUserName_rdsmResourceRole_rdsmSelectSqlQuery_rdsmServiceRole_rdsdsDataRearrangement_rdsdsDataSchema_rdsdsDataSchemaUri_rdsdsDatabaseCredentials_rdsdsDatabaseInformation_rdsdsResourceRole_rdsdsS3StagingLocation_rdsdsSecurityGroupIds_rdsdsSelectSqlQuery_rdsdsServiceRole_rdsdsSubnetId_sdsDataLocationS3_sdsDataRearrangement_sdsDataSchema_sdsDataSchemaLocationS3 _pDetails_pPredictedLabel_pPredictedScores_pPredictedValue _reiCreatedAt_reiEndpointStatus_reiEndpointUrl_reiPeakRequestsPerSecond _pmProperties$fToJSONMLModelType$fFromJSONMLModelType$fToQueryMLModelType$fToHeaderMLModelType$fToByteStringMLModelType$fToTextMLModelType$fFromTextMLModelType$fHashableMLModelType$fToJSONRedshiftMetadata$fFromJSONRedshiftMetadata$fToJSONEvaluation$fFromJSONEvaluation$fToJSONRedshiftDataSpec$fFromJSONRedshiftDataSpec 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