StringIndexerModel¶
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class
pyspark.ml.feature.
StringIndexerModel
(java_model=None)[source]¶ Model fitted by
StringIndexer
.New in version 1.4.0.
Methods
Attributes
Methods Documentation
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clear
(param)¶ Clears a param from the param map if it has been explicitly set.
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copy
(extra=None)¶ Creates a copy of this instance with the same uid and some extra params. This implementation first calls Params.copy and then make a copy of the companion Java pipeline component with extra params. So both the Python wrapper and the Java pipeline component get copied.
- Parameters
extra – Extra parameters to copy to the new instance
- Returns
Copy of this instance
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explainParam
(param)¶ Explains a single param and returns its name, doc, and optional default value and user-supplied value in a string.
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explainParams
()¶ Returns the documentation of all params with their optionally default values and user-supplied values.
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extractParamMap
(extra=None)¶ Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values < user-supplied values < extra.
- Parameters
extra – extra param values
- Returns
merged param map
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classmethod
from_arrays_of_labels
(arrayOfLabels, inputCols, outputCols=None, handleInvalid=None)[source]¶ Construct the model directly from an array of array of label strings, requires an active SparkContext.
New in version 3.0.0.
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classmethod
from_labels
(labels, inputCol, outputCol=None, handleInvalid=None)[source]¶ Construct the model directly from an array of label strings, requires an active SparkContext.
New in version 2.4.0.
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getHandleInvalid
()¶ Gets the value of handleInvalid or its default value.
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getInputCol
()¶ Gets the value of inputCol or its default value.
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getInputCols
()¶ Gets the value of inputCols or its default value.
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getOrDefault
(param)¶ Gets the value of a param in the user-supplied param map or its default value. Raises an error if neither is set.
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getOutputCol
()¶ Gets the value of outputCol or its default value.
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getOutputCols
()¶ Gets the value of outputCols or its default value.
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getParam
(paramName)¶ Gets a param by its name.
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getStringOrderType
()¶ Gets the value of
stringOrderType
or its default value ‘frequencyDesc’.New in version 2.3.0.
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hasDefault
(param)¶ Checks whether a param has a default value.
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hasParam
(paramName)¶ Tests whether this instance contains a param with a given (string) name.
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isDefined
(param)¶ Checks whether a param is explicitly set by user or has a default value.
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isSet
(param)¶ Checks whether a param is explicitly set by user.
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classmethod
load
(path)¶ Reads an ML instance from the input path, a shortcut of read().load(path).
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classmethod
read
()¶ Returns an MLReader instance for this class.
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save
(path)¶ Save this ML instance to the given path, a shortcut of ‘write().save(path)’.
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set
(param, value)¶ Sets a parameter in the embedded param map.
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setHandleInvalid
(value)[source]¶ Sets the value of
handleInvalid
.New in version 2.4.0.
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setOutputCols
(value)[source]¶ Sets the value of
outputCols
.New in version 3.0.0.
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transform
(dataset, params=None)¶ Transforms the input dataset with optional parameters.
- Parameters
dataset – input dataset, which is an instance of
pyspark.sql.DataFrame
params – an optional param map that overrides embedded params.
- Returns
transformed dataset
New in version 1.3.0.
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write
()¶ Returns an MLWriter instance for this ML instance.
Attributes Documentation
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handleInvalid
= Param(parent='undefined', name='handleInvalid', doc="how to handle invalid data (unseen or NULL values) in features and label column of string type. Options are 'skip' (filter out rows with invalid data), error (throw an error), or 'keep' (put invalid data in a special additional bucket, at index numLabels).")¶
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inputCol
= Param(parent='undefined', name='inputCol', doc='input column name.')¶
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inputCols
= Param(parent='undefined', name='inputCols', doc='input column names.')¶
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labels
¶ Ordered list of labels, corresponding to indices to be assigned.
New in version 1.5.0.
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outputCol
= Param(parent='undefined', name='outputCol', doc='output column name.')¶
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outputCols
= Param(parent='undefined', name='outputCols', doc='output column names.')¶
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params
¶ Returns all params ordered by name. The default implementation uses
dir()
to get all attributes of typeParam
.
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stringOrderType
= Param(parent='undefined', name='stringOrderType', doc='How to order labels of string column. The first label after ordering is assigned an index of 0. Supported options: frequencyDesc, frequencyAsc, alphabetDesc, alphabetAsc. Default is frequencyDesc. In case of equal frequency when under frequencyDesc/Asc, the strings are further sorted alphabetically')¶
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