Class MinMaxNormalizer
- java.lang.Object
-
- org.apache.spark.ml.PipelineStage
-
- org.apache.spark.ml.Transformer
-
- com.r4tings.recommender.common.ml.AbstractRatingTransformer
-
- com.r4tings.recommender.data.normalize.RatingNormalizer<MinMaxNormalizer>
-
- com.r4tings.recommender.data.normalize.MinMaxNormalizer
-
- All Implemented Interfaces:
GroupCol,OutputCol,RatingCol,Verbose,java.io.Serializable,org.apache.spark.internal.Logging,org.apache.spark.ml.param.Params,org.apache.spark.ml.util.Identifiable,scala.Serializable
public class MinMaxNormalizer extends RatingNormalizer<MinMaxNormalizer>
- See Also:
- Serialized Form
-
-
Constructor Summary
Constructors Constructor Description MinMaxNormalizer()
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>compute(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> ratingDS)protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row>compute(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> ratingDS, java.lang.String groupCol)java.lang.DoublegetLower()java.lang.DoublegetUpper()org.apache.spark.ml.param.DoubleParamlower()protected MinMaxNormalizerself()MinMaxNormalizersetLower(java.lang.Double value)MinMaxNormalizersetUpper(java.lang.Double value)org.apache.spark.ml.param.DoubleParamupper()-
Methods inherited from class com.r4tings.recommender.data.normalize.RatingNormalizer
getGroup, getGroupCol, getOutputCol, group, scale, setGroup, setGroupCol, setItemCol, setOutputCol, setRatingCol, setUserCol, setVerbose, transform
-
Methods inherited from class com.r4tings.recommender.common.ml.AbstractRatingTransformer
copy, getItemCol, getRatingCol, getUserCol, getVerbose, itemCol, outputCol, ratingCol, transformSchema, uid, userCol, verbose
-
Methods inherited from class org.apache.spark.ml.PipelineStage
$, clear, copyValues, copyValues$default$2, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, isDefined, isSet, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, onParamChange, org$apache$spark$internal$Logging$$log_, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$ml$param$Params$_setter_$defaultParamMap_$eq, org$apache$spark$ml$param$Params$_setter_$paramMap_$eq, paramMap, params, set, set, set, setDefault, setDefault, toString, transformSchema
-
-
-
-
Method Detail
-
self
protected MinMaxNormalizer self()
- Specified by:
selfin classRatingNormalizer<MinMaxNormalizer>
-
compute
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> compute(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> ratingDS)
- Specified by:
computein classRatingNormalizer<MinMaxNormalizer>
-
compute
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> compute(org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> ratingDS, java.lang.String groupCol)- Specified by:
computein classRatingNormalizer<MinMaxNormalizer>
-
lower
public org.apache.spark.ml.param.DoubleParam lower()
-
upper
public org.apache.spark.ml.param.DoubleParam upper()
-
getLower
public java.lang.Double getLower()
-
getUpper
public java.lang.Double getUpper()
-
setLower
public MinMaxNormalizer setLower(java.lang.Double value)
-
setUpper
public MinMaxNormalizer setUpper(java.lang.Double value)
-
-