Source code for mmlspark.vw.VowpalWabbitInteractions

# Copyright (C) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See LICENSE in project root for information.


import sys
if sys.version >= '3':
    basestring = str

from pyspark import SparkContext, SQLContext
from pyspark.sql import DataFrame
from pyspark.ml.param.shared import *
from pyspark import keyword_only
from pyspark.ml.util import JavaMLReadable, JavaMLWritable
from mmlspark.core.serialize.java_params_patch import *
from pyspark.ml.wrapper import JavaTransformer, JavaEstimator, JavaModel
from pyspark.ml.common import inherit_doc
from mmlspark.core.schema.Utils import *

[docs]@inherit_doc class VowpalWabbitInteractions(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer): """ Args: inputCols (list): The names of the input columns numBits (int): Number of bits used to mask (default: 30) outputCol (str): The name of the output column sumCollisions (bool): Sums collisions if true, otherwise removes them (default: true) """ @keyword_only def __init__(self, inputCols=None, numBits=30, outputCol=None, sumCollisions=True): super(VowpalWabbitInteractions, self).__init__() self._java_obj = self._new_java_obj("com.microsoft.ml.spark.vw.VowpalWabbitInteractions") self.inputCols = Param(self, "inputCols", "inputCols: The names of the input columns") self.numBits = Param(self, "numBits", "numBits: Number of bits used to mask (default: 30)") self._setDefault(numBits=30) self.outputCol = Param(self, "outputCol", "outputCol: The name of the output column") self.sumCollisions = Param(self, "sumCollisions", "sumCollisions: Sums collisions if true, otherwise removes them (default: true)") self._setDefault(sumCollisions=True) if hasattr(self, "_input_kwargs"): kwargs = self._input_kwargs else: kwargs = self.__init__._input_kwargs self.setParams(**kwargs)
[docs] @keyword_only def setParams(self, inputCols=None, numBits=30, outputCol=None, sumCollisions=True): """ Set the (keyword only) parameters Args: inputCols (list): The names of the input columns numBits (int): Number of bits used to mask (default: 30) outputCol (str): The name of the output column sumCollisions (bool): Sums collisions if true, otherwise removes them (default: true) """ if hasattr(self, "_input_kwargs"): kwargs = self._input_kwargs else: kwargs = self.__init__._input_kwargs return self._set(**kwargs)
[docs] def getInputCols(self): """ Returns: list: The names of the input columns """ return self.getOrDefault(self.inputCols)
[docs] def getNumBits(self): """ Returns: int: Number of bits used to mask (default: 30) """ return self.getOrDefault(self.numBits)
[docs] def getOutputCol(self): """ Returns: str: The name of the output column """ return self.getOrDefault(self.outputCol)
[docs] def getSumCollisions(self): """ Returns: bool: Sums collisions if true, otherwise removes them (default: true) """ return self.getOrDefault(self.sumCollisions)
[docs] def setInputCols(self, value): """ Args: inputCols: The names of the input columns """ self._set(inputCols=value) return self
[docs] def setNumBits(self, value): """ Args: numBits: Number of bits used to mask (default: 30) """ self._set(numBits=value) return self
[docs] def setOutputCol(self, value): """ Args: outputCol: The name of the output column """ self._set(outputCol=value) return self
[docs] def setSumCollisions(self, value): """ Args: sumCollisions: Sums collisions if true, otherwise removes them (default: true) """ self._set(sumCollisions=value) return self
[docs] @classmethod def read(cls): """ Returns an MLReader instance for this class. """ return JavaMMLReader(cls)
[docs] @staticmethod def getJavaPackage(): """ Returns package name String. """ return "com.microsoft.ml.spark.vw.VowpalWabbitInteractions"
@staticmethod def _from_java(java_stage): module_name=VowpalWabbitInteractions.__module__ module_name=module_name.rsplit(".", 1)[0] + ".VowpalWabbitInteractions" return from_java(java_stage, module_name)