org.apache.spark.ml.feature

Interface LSHParams

All Superinterfaces:

HasInputCol, HasOutputCol, Identifiable, Params, java.io.Serializable

All Known Implementing Classes:

BucketedRandomProjectionLSH, BucketedRandomProjectionLSHModel, MinHashLSH, MinHashLSHModel

public interface LSHParams
extends HasInputCol, HasOutputCol

Params for LSH.

Method Summary

Modifier and Type	Method and Description
int	getNumHashTables()
IntParam	numHashTables() Param for the number of hash tables used in LSH OR-amplification.
StructType	validateAndTransformSchema(StructType schema) Transform the Schema for LSH

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

getInputCol, inputCol

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

getOutputCol, outputCol

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

getNumHashTables

int getNumHashTables()

numHashTables

IntParam numHashTables()

Param for the number of hash tables used in LSH OR-amplification.

LSH OR-amplification can be used to reduce the false negative rate. Higher values for this param lead to a reduced false negative rate, at the expense of added computational complexity.

Returns:

(undocumented)

validateAndTransformSchema

StructType validateAndTransformSchema(StructType schema)

Transform the Schema for LSH

Parameters:

schema - The schema of the input dataset without outputCol.

Returns:

A derived schema with outputCol added.