Source code for synapse.ml.featurize.text.PageSplitter

# 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 synapse.ml.core.platform import running_on_synapse_internal
from synapse.ml.core.serialize.java_params_patch import *
from pyspark.ml.wrapper import JavaTransformer, JavaEstimator, JavaModel
from pyspark.ml.evaluation import JavaEvaluator
from pyspark.ml.common import inherit_doc
from synapse.ml.core.schema.Utils import *
from pyspark.ml.param import TypeConverters
from synapse.ml.core.schema.TypeConversionUtils import generateTypeConverter, complexTypeConverter


[docs]@inherit_doc class PageSplitter(ComplexParamsMixin, JavaMLReadable, JavaMLWritable, JavaTransformer): """ Args: boundaryRegex (str): how to split into words inputCol (str): The name of the input column maximumPageLength (int): the maximum number of characters to be in a page minimumPageLength (int): the the minimum number of characters to have on a page in order to preserve work boundaries outputCol (str): The name of the output column """ boundaryRegex = Param(Params._dummy(), "boundaryRegex", "how to split into words", typeConverter=TypeConverters.toString) inputCol = Param(Params._dummy(), "inputCol", "The name of the input column", typeConverter=TypeConverters.toString) maximumPageLength = Param(Params._dummy(), "maximumPageLength", "the maximum number of characters to be in a page", typeConverter=TypeConverters.toInt) minimumPageLength = Param(Params._dummy(), "minimumPageLength", "the the minimum number of characters to have on a page in order to preserve work boundaries", typeConverter=TypeConverters.toInt) outputCol = Param(Params._dummy(), "outputCol", "The name of the output column", typeConverter=TypeConverters.toString) @keyword_only def __init__( self, java_obj=None, boundaryRegex="\\s", inputCol=None, maximumPageLength=5000, minimumPageLength=4500, outputCol="PageSplitter_8b77c68ea8c8_output" ): super(PageSplitter, self).__init__() if java_obj is None: self._java_obj = self._new_java_obj("com.microsoft.azure.synapse.ml.featurize.text.PageSplitter", self.uid) else: self._java_obj = java_obj self._setDefault(boundaryRegex="\\s") self._setDefault(maximumPageLength=5000) self._setDefault(minimumPageLength=4500) self._setDefault(outputCol="PageSplitter_8b77c68ea8c8_output") if hasattr(self, "_input_kwargs"): kwargs = self._input_kwargs else: kwargs = self.__init__._input_kwargs if java_obj is None: for k,v in kwargs.items(): if v is not None: getattr(self, "set" + k[0].upper() + k[1:])(v)
[docs] @keyword_only def setParams( self, boundaryRegex="\\s", inputCol=None, maximumPageLength=5000, minimumPageLength=4500, outputCol="PageSplitter_8b77c68ea8c8_output" ): """ Set the (keyword only) parameters """ if hasattr(self, "_input_kwargs"): kwargs = self._input_kwargs else: kwargs = self.__init__._input_kwargs return self._set(**kwargs)
[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.azure.synapse.ml.featurize.text.PageSplitter"
@staticmethod def _from_java(java_stage): module_name=PageSplitter.__module__ module_name=module_name.rsplit(".", 1)[0] + ".PageSplitter" return from_java(java_stage, module_name)
[docs] def setBoundaryRegex(self, value): """ Args: boundaryRegex: how to split into words """ self._set(boundaryRegex=value) return self
[docs] def setInputCol(self, value): """ Args: inputCol: The name of the input column """ self._set(inputCol=value) return self
[docs] def setMaximumPageLength(self, value): """ Args: maximumPageLength: the maximum number of characters to be in a page """ self._set(maximumPageLength=value) return self
[docs] def setMinimumPageLength(self, value): """ Args: minimumPageLength: the the minimum number of characters to have on a page in order to preserve work boundaries """ self._set(minimumPageLength=value) return self
[docs] def setOutputCol(self, value): """ Args: outputCol: The name of the output column """ self._set(outputCol=value) return self
[docs] def getBoundaryRegex(self): """ Returns: boundaryRegex: how to split into words """ return self.getOrDefault(self.boundaryRegex)
[docs] def getInputCol(self): """ Returns: inputCol: The name of the input column """ return self.getOrDefault(self.inputCol)
[docs] def getMaximumPageLength(self): """ Returns: maximumPageLength: the maximum number of characters to be in a page """ return self.getOrDefault(self.maximumPageLength)
[docs] def getMinimumPageLength(self): """ Returns: minimumPageLength: the the minimum number of characters to have on a page in order to preserve work boundaries """ return self.getOrDefault(self.minimumPageLength)
[docs] def getOutputCol(self): """ Returns: outputCol: The name of the output column """ return self.getOrDefault(self.outputCol)