MachineLearning / Client / update_ml_model

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.

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:

{
    'MLModelId': 'string'
}