update_ml_model

MachineLearning.Client.update_ml_model(**kwargs)

Updates the MLModelName and the ScoreThreshold of an MLModel .

You can use the GetMLModel operation to view the contents of the updated data element.

See also: AWS API Documentation

Request Syntax

response = client.update_ml_model(
    MLModelId='string',
    MLModelName='string',
    ScoreThreshold=...
)

Parameters

• MLModelId (string) --

  [REQUIRED]

  The ID assigned to the MLModel during creation.

• MLModelName (string) -- A user-supplied name or description of the MLModel .
• ScoreThreshold (float) --

  The ScoreThreshold used in binary classification MLModel 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 MLModel , such as true . Output values less than the ScoreThreshold receive a negative response from the MLModel , such as false .

Return type

dict

Returns

Response Syntax

{
    'MLModelId': 'string'
}

Response Structure

• (dict) --

  Represents the output of an UpdateMLModel operation.

  You can see the updated content by using the GetMLModel operation.

  • MLModelId (string) --

    The ID assigned to the MLModel during creation. This value should be identical to the value of the MLModelID in the request.

Exceptions

• MachineLearning.Client.exceptions.InvalidInputException
• MachineLearning.Client.exceptions.ResourceNotFoundException
• MachineLearning.Client.exceptions.InternalServerException