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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# DO NOT MODIFY. The code is generated by _gen_shared_params.py.
from pyspark.ml.param import Param, Params
class HasMaxIter(Params):
"""
Params with maxIter.
"""
# a placeholder to make it appear in the generated doc
maxIter = Param(Params._dummy(), "maxIter", "max number of iterations", 100)
def __init__(self):
super(HasMaxIter, self).__init__()
#: param for max number of iterations
self.maxIter = Param(self, "maxIter", "max number of iterations", 100)
def setMaxIter(self, value):
"""
Sets the value of :py:attr:`maxIter`.
"""
self.paramMap[self.maxIter] = value
return self
def getMaxIter(self):
"""
Gets the value of maxIter or its default value.
"""
if self.maxIter in self.paramMap:
return self.paramMap[self.maxIter]
else:
return self.maxIter.defaultValue
class HasRegParam(Params):
"""
Params with regParam.
"""
# a placeholder to make it appear in the generated doc
regParam = Param(Params._dummy(), "regParam", "regularization constant", 0.1)
def __init__(self):
super(HasRegParam, self).__init__()
#: param for regularization constant
self.regParam = Param(self, "regParam", "regularization constant", 0.1)
def setRegParam(self, value):
"""
Sets the value of :py:attr:`regParam`.
"""
self.paramMap[self.regParam] = value
return self
def getRegParam(self):
"""
Gets the value of regParam or its default value.
"""
if self.regParam in self.paramMap:
return self.paramMap[self.regParam]
else:
return self.regParam.defaultValue
class HasFeaturesCol(Params):
"""
Params with featuresCol.
"""
# a placeholder to make it appear in the generated doc
featuresCol = Param(Params._dummy(), "featuresCol", "features column name", 'features')
def __init__(self):
super(HasFeaturesCol, self).__init__()
#: param for features column name
self.featuresCol = Param(self, "featuresCol", "features column name", 'features')
def setFeaturesCol(self, value):
"""
Sets the value of :py:attr:`featuresCol`.
"""
self.paramMap[self.featuresCol] = value
return self
def getFeaturesCol(self):
"""
Gets the value of featuresCol or its default value.
"""
if self.featuresCol in self.paramMap:
return self.paramMap[self.featuresCol]
else:
return self.featuresCol.defaultValue
class HasLabelCol(Params):
"""
Params with labelCol.
"""
# a placeholder to make it appear in the generated doc
labelCol = Param(Params._dummy(), "labelCol", "label column name", 'label')
def __init__(self):
super(HasLabelCol, self).__init__()
#: param for label column name
self.labelCol = Param(self, "labelCol", "label column name", 'label')
def setLabelCol(self, value):
"""
Sets the value of :py:attr:`labelCol`.
"""
self.paramMap[self.labelCol] = value
return self
def getLabelCol(self):
"""
Gets the value of labelCol or its default value.
"""
if self.labelCol in self.paramMap:
return self.paramMap[self.labelCol]
else:
return self.labelCol.defaultValue
class HasPredictionCol(Params):
"""
Params with predictionCol.
"""
# a placeholder to make it appear in the generated doc
predictionCol = Param(Params._dummy(), "predictionCol", "prediction column name", 'prediction')
def __init__(self):
super(HasPredictionCol, self).__init__()
#: param for prediction column name
self.predictionCol = Param(self, "predictionCol", "prediction column name", 'prediction')
def setPredictionCol(self, value):
"""
Sets the value of :py:attr:`predictionCol`.
"""
self.paramMap[self.predictionCol] = value
return self
def getPredictionCol(self):
"""
Gets the value of predictionCol or its default value.
"""
if self.predictionCol in self.paramMap:
return self.paramMap[self.predictionCol]
else:
return self.predictionCol.defaultValue
class HasInputCol(Params):
"""
Params with inputCol.
"""
# a placeholder to make it appear in the generated doc
inputCol = Param(Params._dummy(), "inputCol", "input column name", 'input')
def __init__(self):
super(HasInputCol, self).__init__()
#: param for input column name
self.inputCol = Param(self, "inputCol", "input column name", 'input')
def setInputCol(self, value):
"""
Sets the value of :py:attr:`inputCol`.
"""
self.paramMap[self.inputCol] = value
return self
def getInputCol(self):
"""
Gets the value of inputCol or its default value.
"""
if self.inputCol in self.paramMap:
return self.paramMap[self.inputCol]
else:
return self.inputCol.defaultValue
class HasOutputCol(Params):
"""
Params with outputCol.
"""
# a placeholder to make it appear in the generated doc
outputCol = Param(Params._dummy(), "outputCol", "output column name", 'output')
def __init__(self):
super(HasOutputCol, self).__init__()
#: param for output column name
self.outputCol = Param(self, "outputCol", "output column name", 'output')
def setOutputCol(self, value):
"""
Sets the value of :py:attr:`outputCol`.
"""
self.paramMap[self.outputCol] = value
return self
def getOutputCol(self):
"""
Gets the value of outputCol or its default value.
"""
if self.outputCol in self.paramMap:
return self.paramMap[self.outputCol]
else:
return self.outputCol.defaultValue
class HasNumFeatures(Params):
"""
Params with numFeatures.
"""
# a placeholder to make it appear in the generated doc
numFeatures = Param(Params._dummy(), "numFeatures", "number of features", 1 << 18)
def __init__(self):
super(HasNumFeatures, self).__init__()
#: param for number of features
self.numFeatures = Param(self, "numFeatures", "number of features", 1 << 18)
def setNumFeatures(self, value):
"""
Sets the value of :py:attr:`numFeatures`.
"""
self.paramMap[self.numFeatures] = value
return self
def getNumFeatures(self):
"""
Gets the value of numFeatures or its default value.
"""
if self.numFeatures in self.paramMap:
return self.paramMap[self.numFeatures]
else:
return self.numFeatures.defaultValue
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