predict method

Future<PredictOutput> predict({
  1. required String mLModelId,
  2. required String predictEndpoint,
  3. required Map<String, String> record,
})

Generates a prediction for the observation using the specified ML Model.

May throw InvalidInputException. May throw ResourceNotFoundException. May throw LimitExceededException. May throw InternalServerException. May throw PredictorNotMountedException.

Parameter mLModelId : A unique identifier of the MLModel.

Implementation

Future<PredictOutput> predict({
  required String mLModelId,
  required String predictEndpoint,
  required Map<String, String> record,
}) async {
  ArgumentError.checkNotNull(mLModelId, 'mLModelId');
  _s.validateStringLength(
    'mLModelId',
    mLModelId,
    1,
    64,
    isRequired: true,
  );
  ArgumentError.checkNotNull(predictEndpoint, 'predictEndpoint');
  _s.validateStringLength(
    'predictEndpoint',
    predictEndpoint,
    0,
    2048,
    isRequired: true,
  );
  ArgumentError.checkNotNull(record, 'record');
  final headers = <String, String>{
    'Content-Type': 'application/x-amz-json-1.1',
    'X-Amz-Target': 'AmazonML_20141212.Predict'
  };
  final jsonResponse = await _protocol.send(
    method: 'POST',
    requestUri: '/',
    exceptionFnMap: _exceptionFns,
    // TODO queryParams
    headers: headers,
    payload: {
      'MLModelId': mLModelId,
      'PredictEndpoint': predictEndpoint,
      'Record': record,
    },
  );

  return PredictOutput.fromJson(jsonResponse.body);
}