Package org.apache.spark.ml.clustering

Interface GaussianMixtureParams

All Superinterfaces:

HasAggregationDepth, HasFeaturesCol, HasMaxIter, HasPredictionCol, HasProbabilityCol, HasSeed, HasTol, HasWeightCol, Identifiable, Params, Serializable

All Known Implementing Classes:

GaussianMixture, GaussianMixtureModel

public interface GaussianMixtureParams
extends Params, HasMaxIter, HasFeaturesCol, HasSeed, HasPredictionCol, HasWeightCol, HasProbabilityCol, HasTol, HasAggregationDepth

Common params for GaussianMixture and GaussianMixtureModel

Method Summary

Modifier and Type	Method	Description
int	getK()
IntParam	k()	Number of independent Gaussians in the mixture model.
StructType	validateAndTransformSchema(StructType schema)	Validates and transforms the input schema.

Methods inherited from interface org.apache.spark.ml.param.shared.HasAggregationDepth

aggregationDepth, getAggregationDepth

Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasMaxIter

getMaxIter, maxIter

Methods inherited from interface org.apache.spark.ml.param.shared.HasPredictionCol

getPredictionCol, predictionCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasProbabilityCol

getProbabilityCol, probabilityCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasSeed

getSeed, seed

Methods inherited from interface org.apache.spark.ml.param.shared.HasTol

getTol, tol

Methods inherited from interface org.apache.spark.ml.param.shared.HasWeightCol

getWeightCol, weightCol

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString, uid

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copy, copyValues, defaultCopy, defaultParamMap, estimateMatadataSize, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn

Method Details

getK

int getK()

k

IntParam k()

Number of independent Gaussians in the mixture model. Must be greater than 1. Default: 2.

Returns:

(undocumented)

validateAndTransformSchema

StructType validateAndTransformSchema(StructType schema)

Validates and transforms the input schema.

Parameters:

schema - input schema

Returns:

output schema