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Class: Aws::MachineLearning::Types::CreateEvaluationInput
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::CreateEvaluationInput
- Defined in:
- (unknown)
Overview
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
-
#evaluation_data_source_id ⇒ String
The ID of the
DataSource
for the evaluation. -
#evaluation_id ⇒ String
A user-supplied ID that uniquely identifies the
Evaluation
. -
#evaluation_name ⇒ String
A user-supplied name or description of the
Evaluation
. -
#ml_model_id ⇒ String
The ID of the
MLModel
to evaluate.
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
.
#evaluation_id ⇒ String
A user-supplied ID that uniquely identifies the Evaluation
.
#evaluation_name ⇒ 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
.