org.apache.spark.ml.fpm

Interface FPGrowthParams

All Superinterfaces:

HasPredictionCol, Identifiable, Params, java.io.Serializable

All Known Implementing Classes:

FPGrowth, FPGrowthModel

public interface FPGrowthParams
extends Params, HasPredictionCol

Common params for FPGrowth and FPGrowthModel

Method Summary

Modifier and Type	Method and Description
String	getItemsCol()
double	getMinConfidence()
double	getMinSupport()
int	getNumPartitions()
Param<String>	itemsCol() Items column name.
DoubleParam	minConfidence() Minimal confidence for generating Association Rule.
DoubleParam	minSupport() Minimal support level of the frequent pattern.
IntParam	numPartitions() Number of partitions (at least 1) used by parallel FP-growth.
StructType	validateAndTransformSchema(StructType schema) Validates and transforms the input schema.

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

getPredictionCol, predictionCol

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

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

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

toString, uid

Method Detail

getItemsCol

String getItemsCol()

getMinConfidence

double getMinConfidence()

getMinSupport

double getMinSupport()

getNumPartitions

int getNumPartitions()

itemsCol

Param<String> itemsCol()

Items column name. Default: "items"

Returns:

(undocumented)

minConfidence

DoubleParam minConfidence()

Minimal confidence for generating Association Rule. minConfidence will not affect the mining for frequent itemsets, but will affect the association rules generation. Default: 0.8

Returns:

(undocumented)

minSupport

DoubleParam minSupport()

Minimal support level of the frequent pattern. [0.0, 1.0]. Any pattern that appears more than (minSupport * size-of-the-dataset) times will be output in the frequent itemsets. Default: 0.3

Returns:

(undocumented)

numPartitions

IntParam numPartitions()

Number of partitions (at least 1) used by parallel FP-growth. By default the param is not set, and partition number of the input dataset is used.

Returns:

(undocumented)

validateAndTransformSchema

StructType validateAndTransformSchema(StructType schema)

Validates and transforms the input schema.

Parameters:

schema - input schema

Returns:

output schema