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Showing content from https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.ml.feature.Word2Vec.html below:

Word2Vec — PySpark 3.5.5 documentation

clear(param)

Clears a param from the param map if it has been explicitly set.

copy([extra])

Creates a copy of this instance with the same uid and some extra params.

explainParam(param)

Explains a single param and returns its name, doc, and optional default value and user-supplied value in a string.

explainParams()

Returns the documentation of all params with their optionally default values and user-supplied values.

extractParamMap([extra])

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.

fit(dataset[, params])

Fits a model to the input dataset with optional parameters.

fitMultiple(dataset, paramMaps)

Fits a model to the input dataset for each param map in paramMaps.

getInputCol()

Gets the value of inputCol or its default value.

getMaxIter()

Gets the value of maxIter or its default value.

getMaxSentenceLength()

Gets the value of maxSentenceLength or its default value.

getMinCount()

Gets the value of minCount or its default value.

getNumPartitions()

Gets the value of numPartitions or its default value.

getOrDefault(param)

Gets the value of a param in the user-supplied param map or its default value.

getOutputCol()

Gets the value of outputCol or its default value.

getParam(paramName)

Gets a param by its name.

getSeed()

Gets the value of seed or its default value.

getStepSize()

Gets the value of stepSize or its default value.

getVectorSize()

Gets the value of vectorSize or its default value.

getWindowSize()

Gets the value of windowSize or its default value.

hasDefault(param)

Checks whether a param has a default value.

hasParam(paramName)

Tests whether this instance contains a param with a given (string) name.

isDefined(param)

Checks whether a param is explicitly set by user or has a default value.

isSet(param)

Checks whether a param is explicitly set by user.

load(path)

Reads an ML instance from the input path, a shortcut of read().load(path).

read()

Returns an MLReader instance for this class.

save(path)

Save this ML instance to the given path, a shortcut of ‘write().save(path)’.

set(param, value)

Sets a parameter in the embedded param map.

setInputCol(value)

Sets the value of inputCol.

setMaxIter(value)

Sets the value of maxIter.

setMaxSentenceLength(value)

Sets the value of maxSentenceLength.

setMinCount(value)

Sets the value of minCount.

setNumPartitions(value)

Sets the value of numPartitions.

setOutputCol(value)

Sets the value of outputCol.

setParams(self, \*[, minCount, …])

Sets params for this Word2Vec.

setSeed(value)

Sets the value of seed.

setStepSize(value)

Sets the value of stepSize.

setVectorSize(value)

Sets the value of vectorSize.

setWindowSize(value)

Sets the value of windowSize.

write()

Returns an MLWriter instance for this ML instance.

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