Smaws_Client_MachineLearning (smaws-clients.Smaws_Client

Types

module Types : sig ... end

Builders

val make_update_ml_model_output : 
  ?ml_model_id:Types.entity_id ->
  unit ->
  Types.update_ml_model_output

val make_update_ml_model_input : 
  ?score_threshold:Types.score_threshold ->
  ?ml_model_name:Types.entity_name ->
  ml_model_id:Types.entity_id ->
  unit ->
  Types.update_ml_model_input

val make_update_evaluation_output : 
  ?evaluation_id:Types.entity_id ->
  unit ->
  Types.update_evaluation_output

val make_update_evaluation_input : 
  evaluation_name:Types.entity_name ->
  evaluation_id:Types.entity_id ->
  unit ->
  Types.update_evaluation_input

val make_update_data_source_output : 
  ?data_source_id:Types.entity_id ->
  unit ->
  Types.update_data_source_output

val make_update_data_source_input : 
  data_source_name:Types.entity_name ->
  data_source_id:Types.entity_id ->
  unit ->
  Types.update_data_source_input

val make_update_batch_prediction_output : 
  ?batch_prediction_id:Types.entity_id ->
  unit ->
  Types.update_batch_prediction_output

val make_update_batch_prediction_input : 
  batch_prediction_name:Types.entity_name ->
  batch_prediction_id:Types.entity_id ->
  unit ->
  Types.update_batch_prediction_input

val make_tag : 
  ?value:Types.tag_value ->
  ?key:Types.tag_key ->
  unit ->
  Types.tag

val make_s3_data_spec : 
  ?data_schema_location_s3:Types.s3_url ->
  ?data_schema:Types.data_schema ->
  ?data_rearrangement:Types.data_rearrangement ->
  data_location_s3:Types.s3_url ->
  unit ->
  Types.s3_data_spec

val make_redshift_database : 
  cluster_identifier:Types.redshift_cluster_identifier ->
  database_name:Types.redshift_database_name ->
  unit ->
  Types.redshift_database

val make_redshift_metadata : 
  ?select_sql_query:Types.redshift_select_sql_query ->
  ?database_user_name:Types.redshift_database_username ->
  ?redshift_database:Types.redshift_database ->
  unit ->
  Types.redshift_metadata

val make_redshift_database_credentials : 
  password:Types.redshift_database_password ->
  username:Types.redshift_database_username ->
  unit ->
  Types.redshift_database_credentials

val make_redshift_data_spec : 
  ?data_schema_uri:Types.s3_url ->
  ?data_schema:Types.data_schema ->
  ?data_rearrangement:Types.data_rearrangement ->
  s3_staging_location:Types.s3_url ->
  database_credentials:Types.redshift_database_credentials ->
  select_sql_query:Types.redshift_select_sql_query ->
  database_information:Types.redshift_database ->
  unit ->
  Types.redshift_data_spec

val make_realtime_endpoint_info : 
  ?endpoint_status:Types.realtime_endpoint_status ->
  ?endpoint_url:Types.vip_ur_l ->
  ?created_at:Types.epoch_time ->
  ?peak_requests_per_second:Types.integer_type ->
  unit ->
  Types.realtime_endpoint_info

val make_rds_database : 
  database_name:Types.rds_database_name ->
  instance_identifier:Types.rds_instance_identifier ->
  unit ->
  Types.rds_database

val make_rds_metadata : 
  ?data_pipeline_id:Types.edp_pipeline_id ->
  ?service_role:Types.edp_service_role ->
  ?resource_role:Types.edp_resource_role ->
  ?select_sql_query:Types.rds_select_sql_query ->
  ?database_user_name:Types.rds_database_username ->
  ?database:Types.rds_database ->
  unit ->
  Types.rds_metadata

val make_rds_database_credentials : 
  password:Types.rds_database_password ->
  username:Types.rds_database_username ->
  unit ->
  Types.rds_database_credentials

val make_rds_data_spec : 
  ?data_schema_uri:Types.s3_url ->
  ?data_schema:Types.data_schema ->
  ?data_rearrangement:Types.data_rearrangement ->
  security_group_ids:Types.edp_security_group_ids ->
  subnet_id:Types.edp_subnet_id ->
  service_role:Types.edp_service_role ->
  resource_role:Types.edp_resource_role ->
  s3_staging_location:Types.s3_url ->
  database_credentials:Types.rds_database_credentials ->
  select_sql_query:Types.rds_select_sql_query ->
  database_information:Types.rds_database ->
  unit ->
  Types.rds_data_spec

val make_prediction : 
  ?details:Types.details_map ->
  ?predicted_scores:Types.score_value_per_label_map ->
  ?predicted_value:Types.float_label ->
  ?predicted_label:Types.label ->
  unit ->
  Types.prediction

val make_predict_output : 
  ?prediction:Types.prediction ->
  unit ->
  Types.predict_output

val make_predict_input : 
  predict_endpoint:Types.vip_ur_l ->
  record:Types.record ->
  ml_model_id:Types.entity_id ->
  unit ->
  Types.predict_input

val make_performance_metrics : 
  ?properties:Types.performance_metrics_properties ->
  unit ->
  Types.performance_metrics

val make_ml_model : 
  ?started_at:Types.epoch_time ->
  ?finished_at:Types.epoch_time ->
  ?compute_time:Types.long_type ->
  ?message:Types.message ->
  ?score_threshold_last_updated_at:Types.epoch_time ->
  ?score_threshold:Types.score_threshold ->
  ?ml_model_type:Types.ml_model_type ->
  ?algorithm:Types.algorithm ->
  ?input_data_location_s3:Types.s3_url ->
  ?training_parameters:Types.training_parameters ->
  ?endpoint_info:Types.realtime_endpoint_info ->
  ?size_in_bytes:Types.long_type ->
  ?status:Types.entity_status ->
  ?name:Types.ml_model_name ->
  ?last_updated_at:Types.epoch_time ->
  ?created_at:Types.epoch_time ->
  ?created_by_iam_user:Types.aws_user_arn ->
  ?training_data_source_id:Types.entity_id ->
  ?ml_model_id:Types.entity_id ->
  unit ->
  Types.ml_model

val make_get_ml_model_output : 
  ?schema:Types.data_schema ->
  ?recipe:Types.recipe ->
  ?started_at:Types.epoch_time ->
  ?finished_at:Types.epoch_time ->
  ?compute_time:Types.long_type ->
  ?message:Types.message ->
  ?log_uri:Types.presigned_s3_url ->
  ?score_threshold_last_updated_at:Types.epoch_time ->
  ?score_threshold:Types.score_threshold ->
  ?ml_model_type:Types.ml_model_type ->
  ?input_data_location_s3:Types.s3_url ->
  ?training_parameters:Types.training_parameters ->
  ?endpoint_info:Types.realtime_endpoint_info ->
  ?size_in_bytes:Types.long_type ->
  ?status:Types.entity_status ->
  ?name:Types.ml_model_name ->
  ?last_updated_at:Types.epoch_time ->
  ?created_at:Types.epoch_time ->
  ?created_by_iam_user:Types.aws_user_arn ->
  ?training_data_source_id:Types.entity_id ->
  ?ml_model_id:Types.entity_id ->
  unit ->
  Types.get_ml_model_output

val make_get_ml_model_input : 
  ?verbose:Types.verbose ->
  ml_model_id:Types.entity_id ->
  unit ->
  Types.get_ml_model_input

val make_get_evaluation_output : 
  ?started_at:Types.epoch_time ->
  ?finished_at:Types.epoch_time ->
  ?compute_time:Types.long_type ->
  ?message:Types.message ->
  ?log_uri:Types.presigned_s3_url ->
  ?performance_metrics:Types.performance_metrics ->
  ?status:Types.entity_status ->
  ?name:Types.entity_name ->
  ?last_updated_at:Types.epoch_time ->
  ?created_at:Types.epoch_time ->
  ?created_by_iam_user:Types.aws_user_arn ->
  ?input_data_location_s3:Types.s3_url ->
  ?evaluation_data_source_id:Types.entity_id ->
  ?ml_model_id:Types.entity_id ->
  ?evaluation_id:Types.entity_id ->
  unit ->
  Types.get_evaluation_output

val make_get_evaluation_input : 
  evaluation_id:Types.entity_id ->
  unit ->
  Types.get_evaluation_input

val make_get_data_source_output : 
  ?data_source_schema:Types.data_schema ->
  ?started_at:Types.epoch_time ->
  ?finished_at:Types.epoch_time ->
  ?compute_time:Types.long_type ->
  ?compute_statistics:Types.compute_statistics ->
  ?role_ar_n:Types.role_ar_n ->
  ?rds_metadata:Types.rds_metadata ->
  ?redshift_metadata:Types.redshift_metadata ->
  ?message:Types.message ->
  ?log_uri:Types.presigned_s3_url ->
  ?status:Types.entity_status ->
  ?name:Types.entity_name ->
  ?number_of_files:Types.long_type ->
  ?data_size_in_bytes:Types.long_type ->
  ?last_updated_at:Types.epoch_time ->
  ?created_at:Types.epoch_time ->
  ?created_by_iam_user:Types.aws_user_arn ->
  ?data_rearrangement:Types.data_rearrangement ->
  ?data_location_s3:Types.s3_url ->
  ?data_source_id:Types.entity_id ->
  unit ->
  Types.get_data_source_output

val make_get_data_source_input : 
  ?verbose:Types.verbose ->
  data_source_id:Types.entity_id ->
  unit ->
  Types.get_data_source_input

val make_get_batch_prediction_output : 
  ?invalid_record_count:Types.long_type ->
  ?total_record_count:Types.long_type ->
  ?started_at:Types.epoch_time ->
  ?finished_at:Types.epoch_time ->
  ?compute_time:Types.long_type ->
  ?message:Types.message ->
  ?log_uri:Types.presigned_s3_url ->
  ?output_uri:Types.s3_url ->
  ?status:Types.entity_status ->
  ?name:Types.entity_name ->
  ?last_updated_at:Types.epoch_time ->
  ?created_at:Types.epoch_time ->
  ?created_by_iam_user:Types.aws_user_arn ->
  ?input_data_location_s3:Types.s3_url ->
  ?batch_prediction_data_source_id:Types.entity_id ->
  ?ml_model_id:Types.entity_id ->
  ?batch_prediction_id:Types.entity_id ->
  unit ->
  Types.get_batch_prediction_output

val make_get_batch_prediction_input : 
  batch_prediction_id:Types.entity_id ->
  unit ->
  Types.get_batch_prediction_input

val make_evaluation : 
  ?started_at:Types.epoch_time ->
  ?finished_at:Types.epoch_time ->
  ?compute_time:Types.long_type ->
  ?message:Types.message ->
  ?performance_metrics:Types.performance_metrics ->
  ?status:Types.entity_status ->
  ?name:Types.entity_name ->
  ?last_updated_at:Types.epoch_time ->
  ?created_at:Types.epoch_time ->
  ?created_by_iam_user:Types.aws_user_arn ->
  ?input_data_location_s3:Types.s3_url ->
  ?evaluation_data_source_id:Types.entity_id ->
  ?ml_model_id:Types.entity_id ->
  ?evaluation_id:Types.entity_id ->
  unit ->
  Types.evaluation

val make_describe_tags_output : 
  ?tags:Types.tag_list ->
  ?resource_type:Types.taggable_resource_type ->
  ?resource_id:Types.entity_id ->
  unit ->
  Types.describe_tags_output

val make_describe_tags_input : 
  resource_type:Types.taggable_resource_type ->
  resource_id:Types.entity_id ->
  unit ->
  Types.describe_tags_input

val make_describe_ml_models_output : 
  ?next_token:Types.string_type ->
  ?results:Types.ml_models ->
  unit ->
  Types.describe_ml_models_output

val make_describe_ml_models_input : 
  ?limit:Types.page_limit ->
  ?next_token:Types.string_type ->
  ?sort_order:Types.sort_order ->
  ?prefix:Types.comparator_value ->
  ?n_e:Types.comparator_value ->
  ?l_e:Types.comparator_value ->
  ?g_e:Types.comparator_value ->
  ?l_t:Types.comparator_value ->
  ?g_t:Types.comparator_value ->
  ?e_q:Types.comparator_value ->
  ?filter_variable:Types.ml_model_filter_variable ->
  unit ->
  Types.describe_ml_models_input

val make_describe_evaluations_output : 
  ?next_token:Types.string_type ->
  ?results:Types.evaluations ->
  unit ->
  Types.describe_evaluations_output

val make_describe_evaluations_input : 
  ?limit:Types.page_limit ->
  ?next_token:Types.string_type ->
  ?sort_order:Types.sort_order ->
  ?prefix:Types.comparator_value ->
  ?n_e:Types.comparator_value ->
  ?l_e:Types.comparator_value ->
  ?g_e:Types.comparator_value ->
  ?l_t:Types.comparator_value ->
  ?g_t:Types.comparator_value ->
  ?e_q:Types.comparator_value ->
  ?filter_variable:Types.evaluation_filter_variable ->
  unit ->
  Types.describe_evaluations_input

val make_data_source : 
  ?started_at:Types.epoch_time ->
  ?finished_at:Types.epoch_time ->
  ?compute_time:Types.long_type ->
  ?compute_statistics:Types.compute_statistics ->
  ?role_ar_n:Types.role_ar_n ->
  ?rds_metadata:Types.rds_metadata ->
  ?redshift_metadata:Types.redshift_metadata ->
  ?message:Types.message ->
  ?status:Types.entity_status ->
  ?name:Types.entity_name ->
  ?number_of_files:Types.long_type ->
  ?data_size_in_bytes:Types.long_type ->
  ?last_updated_at:Types.epoch_time ->
  ?created_at:Types.epoch_time ->
  ?created_by_iam_user:Types.aws_user_arn ->
  ?data_rearrangement:Types.data_rearrangement ->
  ?data_location_s3:Types.s3_url ->
  ?data_source_id:Types.entity_id ->
  unit ->
  Types.data_source

val make_describe_data_sources_output : 
  ?next_token:Types.string_type ->
  ?results:Types.data_sources ->
  unit ->
  Types.describe_data_sources_output

val make_describe_data_sources_input : 
  ?limit:Types.page_limit ->
  ?next_token:Types.string_type ->
  ?sort_order:Types.sort_order ->
  ?prefix:Types.comparator_value ->
  ?n_e:Types.comparator_value ->
  ?l_e:Types.comparator_value ->
  ?g_e:Types.comparator_value ->
  ?l_t:Types.comparator_value ->
  ?g_t:Types.comparator_value ->
  ?e_q:Types.comparator_value ->
  ?filter_variable:Types.data_source_filter_variable ->
  unit ->
  Types.describe_data_sources_input

val make_batch_prediction : 
  ?invalid_record_count:Types.long_type ->
  ?total_record_count:Types.long_type ->
  ?started_at:Types.epoch_time ->
  ?finished_at:Types.epoch_time ->
  ?compute_time:Types.long_type ->
  ?message:Types.message ->
  ?output_uri:Types.s3_url ->
  ?status:Types.entity_status ->
  ?name:Types.entity_name ->
  ?last_updated_at:Types.epoch_time ->
  ?created_at:Types.epoch_time ->
  ?created_by_iam_user:Types.aws_user_arn ->
  ?input_data_location_s3:Types.s3_url ->
  ?batch_prediction_data_source_id:Types.entity_id ->
  ?ml_model_id:Types.entity_id ->
  ?batch_prediction_id:Types.entity_id ->
  unit ->
  Types.batch_prediction

val make_describe_batch_predictions_output : 
  ?next_token:Types.string_type ->
  ?results:Types.batch_predictions ->
  unit ->
  Types.describe_batch_predictions_output

val make_describe_batch_predictions_input : 
  ?limit:Types.page_limit ->
  ?next_token:Types.string_type ->
  ?sort_order:Types.sort_order ->
  ?prefix:Types.comparator_value ->
  ?n_e:Types.comparator_value ->
  ?l_e:Types.comparator_value ->
  ?g_e:Types.comparator_value ->
  ?l_t:Types.comparator_value ->
  ?g_t:Types.comparator_value ->
  ?e_q:Types.comparator_value ->
  ?filter_variable:Types.batch_prediction_filter_variable ->
  unit ->
  Types.describe_batch_predictions_input

val make_delete_tags_output : 
  ?resource_type:Types.taggable_resource_type ->
  ?resource_id:Types.entity_id ->
  unit ->
  Types.delete_tags_output

val make_delete_tags_input : 
  resource_type:Types.taggable_resource_type ->
  resource_id:Types.entity_id ->
  tag_keys:Types.tag_key_list ->
  unit ->
  Types.delete_tags_input

val make_delete_realtime_endpoint_output : 
  ?realtime_endpoint_info:Types.realtime_endpoint_info ->
  ?ml_model_id:Types.entity_id ->
  unit ->
  Types.delete_realtime_endpoint_output

val make_delete_realtime_endpoint_input : 
  ml_model_id:Types.entity_id ->
  unit ->
  Types.delete_realtime_endpoint_input

val make_delete_ml_model_output : 
  ?ml_model_id:Types.entity_id ->
  unit ->
  Types.delete_ml_model_output

val make_delete_ml_model_input : 
  ml_model_id:Types.entity_id ->
  unit ->
  Types.delete_ml_model_input

val make_delete_evaluation_output : 
  ?evaluation_id:Types.entity_id ->
  unit ->
  Types.delete_evaluation_output

val make_delete_evaluation_input : 
  evaluation_id:Types.entity_id ->
  unit ->
  Types.delete_evaluation_input

val make_delete_data_source_output : 
  ?data_source_id:Types.entity_id ->
  unit ->
  Types.delete_data_source_output

val make_delete_data_source_input : 
  data_source_id:Types.entity_id ->
  unit ->
  Types.delete_data_source_input

val make_delete_batch_prediction_output : 
  ?batch_prediction_id:Types.entity_id ->
  unit ->
  Types.delete_batch_prediction_output

val make_delete_batch_prediction_input : 
  batch_prediction_id:Types.entity_id ->
  unit ->
  Types.delete_batch_prediction_input

val make_create_realtime_endpoint_output : 
  ?realtime_endpoint_info:Types.realtime_endpoint_info ->
  ?ml_model_id:Types.entity_id ->
  unit ->
  Types.create_realtime_endpoint_output

val make_create_realtime_endpoint_input : 
  ml_model_id:Types.entity_id ->
  unit ->
  Types.create_realtime_endpoint_input

val make_create_ml_model_output : 
  ?ml_model_id:Types.entity_id ->
  unit ->
  Types.create_ml_model_output

val make_create_ml_model_input : 
  ?recipe_uri:Types.s3_url ->
  ?recipe:Types.recipe ->
  ?parameters:Types.training_parameters ->
  ?ml_model_name:Types.entity_name ->
  training_data_source_id:Types.entity_id ->
  ml_model_type:Types.ml_model_type ->
  ml_model_id:Types.entity_id ->
  unit ->
  Types.create_ml_model_input

val make_create_evaluation_output : 
  ?evaluation_id:Types.entity_id ->
  unit ->
  Types.create_evaluation_output

val make_create_evaluation_input : 
  ?evaluation_name:Types.entity_name ->
  evaluation_data_source_id:Types.entity_id ->
  ml_model_id:Types.entity_id ->
  evaluation_id:Types.entity_id ->
  unit ->
  Types.create_evaluation_input

val make_create_data_source_from_s3_output : 
  ?data_source_id:Types.entity_id ->
  unit ->
  Types.create_data_source_from_s3_output

val make_create_data_source_from_s3_input : 
  ?compute_statistics:Types.compute_statistics ->
  ?data_source_name:Types.entity_name ->
  data_spec:Types.s3_data_spec ->
  data_source_id:Types.entity_id ->
  unit ->
  Types.create_data_source_from_s3_input

val make_create_data_source_from_redshift_output : 
  ?data_source_id:Types.entity_id ->
  unit ->
  Types.create_data_source_from_redshift_output

val make_create_data_source_from_redshift_input : 
  ?compute_statistics:Types.compute_statistics ->
  ?data_source_name:Types.entity_name ->
  role_ar_n:Types.role_ar_n ->
  data_spec:Types.redshift_data_spec ->
  data_source_id:Types.entity_id ->
  unit ->
  Types.create_data_source_from_redshift_input

val make_create_data_source_from_rds_output : 
  ?data_source_id:Types.entity_id ->
  unit ->
  Types.create_data_source_from_rds_output

val make_create_data_source_from_rds_input : 
  ?compute_statistics:Types.compute_statistics ->
  ?data_source_name:Types.entity_name ->
  role_ar_n:Types.role_ar_n ->
  rds_data:Types.rds_data_spec ->
  data_source_id:Types.entity_id ->
  unit ->
  Types.create_data_source_from_rds_input

val make_create_batch_prediction_output : 
  ?batch_prediction_id:Types.entity_id ->
  unit ->
  Types.create_batch_prediction_output

val make_create_batch_prediction_input : 
  ?batch_prediction_name:Types.entity_name ->
  output_uri:Types.s3_url ->
  batch_prediction_data_source_id:Types.entity_id ->
  ml_model_id:Types.entity_id ->
  batch_prediction_id:Types.entity_id ->
  unit ->
  Types.create_batch_prediction_input

val make_add_tags_output : 
  ?resource_type:Types.taggable_resource_type ->
  ?resource_id:Types.entity_id ->
  unit ->
  Types.add_tags_output

val make_add_tags_input : 
  resource_type:Types.taggable_resource_type ->
  resource_id:Types.entity_id ->
  tags:Types.tag_list ->
  unit ->
  Types.add_tags_input

Operations

module AddTags : sig ... end

Adds one or more tags to an object, up to a limit of 10. Each tag consists of a key and an optional value. If you add a tag using a key that is already associated with the ML object, AddTags updates the tag's value.

module CreateBatchPrediction : sig ... end

Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a DataSource. This operation creates a new BatchPrediction, and uses an MLModel and the data files referenced by the DataSource as information sources.

module CreateDataSourceFromRDS : sig ... end

Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS). A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.

module CreateDataSourceFromRedshift : sig ... end

Creates a DataSource from a database hosted on an Amazon Redshift cluster. A DataSource references data that can be used to perform either CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.

module CreateDataSourceFromS3 : sig ... end

Creates a DataSource object. A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.

module CreateEvaluation : sig ... end

Creates a new Evaluation of an MLModel. An MLModel is evaluated on a set of observations associated to a DataSource. Like a DataSource for an MLModel, the DataSource for an Evaluation contains values for the Target Variable. The Evaluation compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the MLModel functions on the test data. Evaluation generates a relevant performance metric, such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding MLModelType: BINARY, REGRESSION or MULTICLASS.

module CreateMLModel : sig ... end

Creates a new MLModel using the DataSource and the recipe as information sources.

module CreateRealtimeEndpoint : sig ... end

Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the MLModel; that is, the location to send real-time prediction requests for the specified MLModel.

module DeleteBatchPrediction : sig ... end

Assigns the DELETED status to a BatchPrediction, rendering it unusable.

module DeleteDataSource : sig ... end

Assigns the DELETED status to a DataSource, rendering it unusable.

module DeleteEvaluation : sig ... end

Assigns the DELETED status to an Evaluation, rendering it unusable.

module DeleteMLModel : sig ... end

Assigns the DELETED status to an MLModel, rendering it unusable.

module DeleteRealtimeEndpoint : sig ... end

Deletes a real time endpoint of an MLModel.

module DeleteTags : sig ... end

Deletes the specified tags associated with an ML object. After this operation is complete, you can't recover deleted tags.

module DescribeBatchPredictions : sig ... end

Returns a list of BatchPrediction operations that match the search criteria in the request.

module DescribeDataSources : sig ... end

Returns a list of DataSource that match the search criteria in the request.

module DescribeEvaluations : sig ... end

Returns a list of DescribeEvaluations that match the search criteria in the request.

module DescribeMLModels : sig ... end

Returns a list of MLModel that match the search criteria in the request.

module DescribeTags : sig ... end

Describes one or more of the tags for your Amazon ML object.

module GetBatchPrediction : sig ... end

Returns a BatchPrediction that includes detailed metadata, status, and data file information for a Batch Prediction request.

module GetDataSource : sig ... end

Returns a DataSource that includes metadata and data file information, as well as the current status of the DataSource.

module GetEvaluation : sig ... end

Returns an Evaluation that includes metadata as well as the current status of the Evaluation.

module GetMLModel : sig ... end

Returns an MLModel that includes detailed metadata, data source information, and the current status of the MLModel.

module Predict : sig ... end

Generates a prediction for the observation using the specified ML Model.

module UpdateBatchPrediction : sig ... end

Updates the BatchPredictionName of a BatchPrediction.

module UpdateDataSource : sig ... end

Updates the DataSourceName of a DataSource.

module UpdateEvaluation : sig ... end

Updates the EvaluationName of an Evaluation.

module UpdateMLModel : sig ... end

module Json_serializers : sig ... end

module Json_deserializers : sig ... end