diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py index fbbe3d0307c8..ec17653a1adf 100644 --- a/python/pyspark/ml/classification.py +++ b/python/pyspark/ml/classification.py @@ -1543,12 +1543,12 @@ class MultilayerPerceptronClassifier(JavaEstimator, HasFeaturesCol, HasLabelCol, def __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", maxIter=100, tol=1e-6, seed=None, layers=None, blockSize=128, stepSize=0.03, solver="l-bfgs", initialWeights=None, probabilityCol="probability", - rawPredicitionCol="rawPrediction"): + rawPredictionCol="rawPrediction"): """ __init__(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ maxIter=100, tol=1e-6, seed=None, layers=None, blockSize=128, stepSize=0.03, \ solver="l-bfgs", initialWeights=None, probabilityCol="probability", \ - rawPredicitionCol="rawPrediction") + rawPredictionCol="rawPrediction") """ super(MultilayerPerceptronClassifier, self).__init__() self._java_obj = self._new_java_obj( @@ -1562,12 +1562,12 @@ def __init__(self, featuresCol="features", labelCol="label", predictionCol="pred def setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", maxIter=100, tol=1e-6, seed=None, layers=None, blockSize=128, stepSize=0.03, solver="l-bfgs", initialWeights=None, probabilityCol="probability", - rawPredicitionCol="rawPrediction"): + rawPredictionCol="rawPrediction"): """ setParams(self, featuresCol="features", labelCol="label", predictionCol="prediction", \ maxIter=100, tol=1e-6, seed=None, layers=None, blockSize=128, stepSize=0.03, \ solver="l-bfgs", initialWeights=None, probabilityCol="probability", \ - rawPredicitionCol="rawPrediction"): + rawPredictionCol="rawPrediction"): Sets params for MultilayerPerceptronClassifier. """ kwargs = self._input_kwargs