machinelearning_create_evaluation: Creates a new Evaluation of an MLModel
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

View source: R/machinelearning_operations.R

machinelearning_create_evaluation

R Documentation

Creates a new Evaluation of an MLModel

Description

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.

See https://www.paws-r-sdk.com/docs/machinelearning_create_evaluation/ for full documentation.

Usage

machinelearning_create_evaluation(
  EvaluationId,
  EvaluationName = NULL,
  MLModelId,
  EvaluationDataSourceId
)

Arguments

`EvaluationId`	[required] A user-supplied ID that uniquely identifies the `Evaluation`.
`EvaluationName`	A user-supplied name or description of the `Evaluation`.
`MLModelId`	[required] 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`.
`EvaluationDataSourceId`	[required] The ID of the `DataSource` for the evaluation. The schema of the `DataSource` must match the schema used to create the `MLModel`.