class SAR extends Estimator[SARModel] with SARParams with DefaultParamsWritable with SynapseMLLogging
Smart Adaptive Recommendations (SAR) Algorithm
https://aka.ms/reco-sar
SAR is a fast scalable adaptive algorithm for personalized recommendations based on user transactions history and items description. It produces easily explainable / interpretable recommendations
SAR has been show to provide higher ranking measurements when compared to ALS. https://github.com/Microsoft/Recommenders
Linear Supertypes
Ordering
- Alphabetic
- By Inheritance
Inherited
- SAR
- SynapseMLLogging
- DefaultParamsWritable
- MLWritable
- SARParams
- RecommendationParams
- ALSParams
- HasSeed
- HasCheckpointInterval
- HasRegParam
- HasMaxIter
- ALSModelParams
- HasBlockSize
- HasPredictionCol
- Wrappable
- DotnetWrappable
- RWrappable
- PythonWrappable
- BaseWrappable
- Estimator
- PipelineStage
- Logging
- Params
- Serializable
- Serializable
- Identifiable
- AnyRef
- Any
- Hide All
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Visibility
- Public
- All
Value Members
-
val
activityTimeFormat: Param[String]
- Definition Classes
- SARParams
-
val
alpha: DoubleParam
- Definition Classes
- ALSParams
-
final
val
blockSize: IntParam
- Definition Classes
- HasBlockSize
-
final
val
checkpointInterval: IntParam
- Definition Classes
- HasCheckpointInterval
-
final
def
clear(param: Param[_]): SAR.this.type
- Definition Classes
- Params
-
val
coldStartStrategy: Param[String]
- Definition Classes
- ALSModelParams
-
def
copy(extra: ParamMap): SAR
- Definition Classes
- SAR → Estimator → PipelineStage → Params
-
def
dotnetAdditionalMethods: String
- Definition Classes
- DotnetWrappable
-
def
explainParam(param: Param[_]): String
- Definition Classes
- Params
-
def
explainParams(): String
- Definition Classes
- Params
-
final
def
extractParamMap(): ParamMap
- Definition Classes
- Params
-
final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
- Params
-
val
finalStorageLevel: Param[String]
- Definition Classes
- ALSParams
-
def
fit(dataset: Dataset[_]): SARModel
- Definition Classes
- SAR → Estimator
-
def
fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[SARModel]
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], paramMap: ParamMap): SARModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
-
def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): SARModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" ) @varargs()
-
final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
- def getActivityTimeFormat: String
-
def
getAlpha: Double
- Definition Classes
- ALSParams
-
final
def
getBlockSize: Int
- Definition Classes
- HasBlockSize
-
final
def
getCheckpointInterval: Int
- Definition Classes
- HasCheckpointInterval
-
def
getColdStartStrategy: String
- Definition Classes
- ALSModelParams
-
final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getFinalStorageLevel: String
- Definition Classes
- ALSParams
-
def
getImplicitPrefs: Boolean
- Definition Classes
- ALSParams
-
def
getIntermediateStorageLevel: String
- Definition Classes
- ALSParams
-
def
getItemCol: String
- Definition Classes
- ALSModelParams
-
final
def
getMaxIter: Int
- Definition Classes
- HasMaxIter
-
def
getNonnegative: Boolean
- Definition Classes
- ALSParams
-
def
getNumItemBlocks: Int
- Definition Classes
- ALSParams
-
def
getNumUserBlocks: Int
- Definition Classes
- ALSParams
-
final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
-
def
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
-
final
def
getPredictionCol: String
- Definition Classes
- HasPredictionCol
-
def
getRank: Int
- Definition Classes
- ALSParams
-
def
getRatingCol: String
- Definition Classes
- ALSParams
-
final
def
getRegParam: Double
- Definition Classes
- HasRegParam
-
final
def
getSeed: Long
- Definition Classes
- HasSeed
- def getSimilarityFunction: String
- def getStartTimeFormat: String
- def getSupportThreshold: Int
- def getTimeCol: String
- def getTimeDecayCoeff: Int
-
def
getUserCol: String
- Definition Classes
- ALSModelParams
-
final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
-
def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
-
val
implicitPrefs: BooleanParam
- Definition Classes
- ALSParams
-
val
intermediateStorageLevel: Param[String]
- Definition Classes
- ALSParams
-
final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
- Params
-
final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
-
val
itemCol: Param[String]
- Definition Classes
- ALSModelParams
-
def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
-
def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logTransform[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
-
def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
- Definition Classes
- SynapseMLLogging
-
def
makeDotnetFile(conf: CodegenConfig): Unit
- Definition Classes
- DotnetWrappable
-
def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
-
def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
-
final
val
maxIter: IntParam
- Definition Classes
- HasMaxIter
-
val
nonnegative: BooleanParam
- Definition Classes
- ALSParams
-
val
numItemBlocks: IntParam
- Definition Classes
- ALSParams
-
val
numUserBlocks: IntParam
- Definition Classes
- ALSParams
-
lazy val
params: Array[Param[_]]
- Definition Classes
- Params
-
final
val
predictionCol: Param[String]
- Definition Classes
- HasPredictionCol
-
def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
-
def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
-
val
rank: IntParam
- Definition Classes
- ALSParams
-
val
ratingCol: Param[String]
- Definition Classes
- ALSParams
-
final
val
regParam: DoubleParam
- Definition Classes
- HasRegParam
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
val
seed: LongParam
- Definition Classes
- HasSeed
-
final
def
set[T](param: Param[T], value: T): SAR.this.type
- Definition Classes
- Params
-
def
setActivityTimeFormat(value: String): SAR.this.type
- Definition Classes
- SARParams
-
def
setAlpha(value: Double): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setBlockSize(value: Int): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setCheckpointInterval(value: Int): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setColdStartStrategy(value: String): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setFinalStorageLevel(value: String): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setImplicitPrefs(value: Boolean): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setIntermediateStorageLevel(value: String): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setItemCol(value: String): SAR.this.type
- Definition Classes
- SARParams
-
def
setMaxIter(value: Int): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setNonnegative(value: Boolean): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setNumItemBlocks(value: Int): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setNumUserBlocks(value: Int): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setPredictionCol(value: String): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setRank(value: Int): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setRatingCol(value: String): SAR.this.type
- Definition Classes
- SARParams
-
def
setRegParam(value: Double): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setSeed(value: Long): SAR.this.type
- Definition Classes
- RecommendationParams
-
def
setSimilarityFunction(value: String): SAR.this.type
- Definition Classes
- SARParams
-
def
setStartTime(value: String): SAR.this.type
- Definition Classes
- SARParams
-
def
setStartTimeFormat(value: String): SAR.this.type
- Definition Classes
- SARParams
-
def
setSupportThreshold(value: Int): SAR.this.type
- Definition Classes
- SARParams
-
def
setTimeCol(value: String): SAR.this.type
- Definition Classes
- SARParams
-
def
setTimeDecayCoeff(value: Int): SAR.this.type
- Definition Classes
- SARParams
-
def
setUserCol(value: String): SAR.this.type
- Definition Classes
- SARParams
-
val
similarityFunction: Param[String]
- Definition Classes
- SARParams
-
val
startTime: Param[String]
- Definition Classes
- SARParams
-
val
startTimeFormat: Param[String]
- Definition Classes
- SARParams
-
val
supportThreshold: IntParam
- Definition Classes
- SARParams
-
val
timeCol: Param[String]
- Definition Classes
- SARParams
-
val
timeDecayCoeff: IntParam
- Definition Classes
- SARParams
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- SAR → PipelineStage
-
val
uid: String
- Definition Classes
- SAR → SynapseMLLogging → Identifiable
-
val
userCol: Param[String]
- Definition Classes
- ALSModelParams
-
def
write: MLWriter
- Definition Classes
- DefaultParamsWritable → MLWritable