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Class: Aws::MachineLearning::Types::CreateEvaluationInput

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing CreateEvaluationInput as input to an Aws::Client method, you can use a vanilla Hash:

{
  evaluation_id: "EntityId", # required
  evaluation_name: "EntityName",
  ml_model_id: "EntityId", # required
  evaluation_data_source_id: "EntityId", # required
}

Instance Attribute Summary collapse

Instance Attribute Details

#evaluation_data_source_id ⇒ String

The ID of the DataSource for the evaluation. The schema of the DataSource must match the schema used to create the MLModel.

Returns:

  • (String) —

    The ID of the DataSource for the evaluation.

#evaluation_id ⇒ String

A user-supplied ID that uniquely identifies the Evaluation.

Returns:

  • (String) —

    A user-supplied ID that uniquely identifies the Evaluation.

#evaluation_name ⇒ String

A user-supplied name or description of the Evaluation.

Returns:

  • (String) —

    A user-supplied name or description of the Evaluation.

#ml_model_id ⇒ String

The ID of the MLModel to evaluate.

The schema used in creating the MLModel must match the schema of the DataSource used in the Evaluation.

Returns:

  • (String) —

    The ID of the MLModel to evaluate.