updateMLModel method

Future<UpdateMLModelOutput> updateMLModel({ required String mLModelId, String? mLModelName, double? scoreThreshold, })

Updates the MLModelName and the ScoreThreshold of an MLModel.

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

May throw InvalidInputException. May throw ResourceNotFoundException. May throw InternalServerException.

Parameter mLModelId : The ID assigned to the MLModel during creation.

Parameter mLModelName : A user-supplied name or description of the MLModel.

Parameter scoreThreshold : 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.

Implementation

Future<UpdateMLModelOutput> updateMLModel({
  required String mLModelId,
  String? mLModelName,
  double? scoreThreshold,
}) async {
  ArgumentError.checkNotNull(mLModelId, 'mLModelId');
  _s.validateStringLength(
    'mLModelId',
    mLModelId,
    1,
    64,
    isRequired: true,
  );
  _s.validateStringLength(
    'mLModelName',
    mLModelName,
    0,
    1024,
  );
  final headers = <String, String>{
    'Content-Type': 'application/x-amz-json-1.1',
    'X-Amz-Target': 'AmazonML_20141212.UpdateMLModel'
  };
  final jsonResponse = await _protocol.send(
    method: 'POST',
    requestUri: '/',
    exceptionFnMap: _exceptionFns,
    // TODO queryParams
    headers: headers,
    payload: {
      'MLModelId': mLModelId,
      if (mLModelName != null) 'MLModelName': mLModelName,
      if (scoreThreshold != null) 'ScoreThreshold': scoreThreshold,
    },
  );

  return UpdateMLModelOutput.fromJson(jsonResponse.body);
}