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typo rawPredicition changed to rawPrediction #21030

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typo rawPredicition changed to rawPrediction #21030

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typo rawPredicition changed to rawPrediction 
MultilayerPerceptronClassifier had 4 occurrences
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@JBauerKogentix
JBauerKogentix authored Apr 10, 2018
commit dd15d448798b6c6a905e23283d42962534caeea6
8 changes: 4 additions & 4 deletions python/pyspark/ml/classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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(
Expand All @@ -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
Expand Down