SARModel

Instance Constructors

new SARModel()
new SARModel(uid: String)

uid
The id of the module

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def $[T](param: Param[T]): T

Attributes
protected
Definition Classes
Params
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val activityTimeFormat: Param[String]

Definition Classes
SARParams
val alpha: DoubleParam

Definition Classes
ALSParams
final def asInstanceOf[T0]: T0

Definition Classes
Any
val checkedCast: UserDefinedFunction

Attributes
protected[org.apache.spark.ml.recommendation]
Definition Classes
ALSModelParams
final val checkpointInterval: IntParam

Definition Classes
HasCheckpointInterval
final def clear(param: Param[_]): SARModel.this.type

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val coldStartStrategy: Param[String]

Definition Classes
ALSModelParams
def copy(extra: ParamMap): SARModel

Definition Classes
SARModel → Model → Transformer → PipelineStage → Params
def copyValues[T <: Params](to: T, extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final def defaultCopy[T <: Params](extra: ParamMap): T

Attributes
protected
Definition Classes
Params
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
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 finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def get[T](param: Param[T]): Option[T]

Definition Classes
Params
def getALSModel(uid: String, rank: Int, userFactors: DataFrame, itemFactors: DataFrame): ALSModel

Definition Classes
BaseRecommendationModel
def getAlpha: Double

Definition Classes
ALSParams
final def getCheckpointInterval: Int

Definition Classes
HasCheckpointInterval
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
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
def getItemDataFrame: DataFrame
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
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 getUserCol: String

Definition Classes
ALSModelParams
def getUserDataFrame: DataFrame
final def hasDefault[T](param: Param[T]): Boolean

Definition Classes
Params
def hasParam(paramName: String): Boolean

Definition Classes
Params
def hasParent: Boolean

Definition Classes
Model
def hashCode(): Int

Definition Classes
AnyRef → Any
val implicitPrefs: BooleanParam

Definition Classes
ALSParams
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
val intermediateStorageLevel: Param[String]

Definition Classes
ALSParams
final def isDefined(param: Param[_]): Boolean

Definition Classes
Params
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def isSet(param: Param[_]): Boolean

Definition Classes
Params
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
val itemCol: Param[String]

Definition Classes
ALSModelParams
val itemDataFrame: DataFrameParam
def log: Logger

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logName: String

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging
final val maxIter: IntParam

Definition Classes
HasMaxIter
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
val nonnegative: BooleanParam

Definition Classes
ALSParams
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val numItemBlocks: IntParam

Definition Classes
ALSParams
val numUserBlocks: IntParam

Definition Classes
ALSParams
lazy val params: Array[Param[_]]

Definition Classes
Params
var parent: Estimator[SARModel]

Definition Classes
Model
final val predictionCol: Param[String]

Definition Classes
HasPredictionCol
val rank: IntParam

Definition Classes
ALSParams
val ratingCol: Param[String]

Definition Classes
ALSParams
def recommendForAllUsers(numItems: Int): DataFrame

Returns top numItems items recommended for each user, for all users.
Returns top numItems items recommended for each user, for all users.
numItems
max number of recommendations for each user
returns
a DataFrame of (userCol: Int, recommendations), where recommendations are stored as an array of (itemCol: Int, rating: Float) Rows.

Definition Classes
SARModel → BaseRecommendationModel
def recommendForUserSubset(dataset: Dataset[_], numItems: Int): DataFrame

Returns top numItems items recommended for each user id in the input data set.
Returns top numItems items recommended for each user id in the input data set. Note that if there are duplicate ids in the input dataset, only one set of recommendations per unique id will be returned.
dataset
a Dataset containing a column of user ids. The column name must match userCol.
numItems
max number of recommendations for each user.
returns
a DataFrame of (userCol: Int, recommendations), where recommendations are stored as an array of (itemCol: Int, rating: Float) Rows.
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(paramPair: ParamPair[_]): SARModel.this.type

Attributes
protected
Definition Classes
Params
final def set(param: String, value: Any): SARModel.this.type

Attributes
protected
Definition Classes
Params
final def set[T](param: Param[T], value: T): SARModel.this.type

Definition Classes
Params
def setActivityTimeFormat(value: String): SARModel.this.type

Definition Classes
SARParams
final def setDefault(paramPairs: ParamPair[_]*): SARModel.this.type

Attributes
protected
Definition Classes
Params
final def setDefault[T](param: Param[T], value: T): SARModel.this.type

Attributes
protected
Definition Classes
Params
def setItemCol(value: String): SARModel.this.type

Definition Classes
SARParams
def setItemDataFrame(value: DataFrame): SARModel.this.type
def setParent(parent: Estimator[SARModel]): SARModel

Definition Classes
Model
def setRatingCol(value: String): SARModel.this.type

Definition Classes
SARParams
def setSimilarityFunction(value: String): SARModel.this.type

Definition Classes
SARParams
def setStartTime(value: String): SARModel.this.type

Definition Classes
SARParams
def setStartTimeFormat(value: String): SARModel.this.type

Definition Classes
SARParams
def setSupportThreshold(value: Int): SARModel.this.type

Definition Classes
SARParams
def setTimeCol(value: String): SARModel.this.type

Definition Classes
SARParams
def setTimeDecayCoeff(value: Int): SARModel.this.type

Definition Classes
SARParams
def setUserCol(value: String): SARModel.this.type

Definition Classes
SARParams
def setUserDataFrame(value: DataFrame): SARModel.this.type
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
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val timeCol: Param[String]

Definition Classes
SARParams
val timeDecayCoeff: IntParam

Definition Classes
SARParams
def toString(): String

Definition Classes
Identifiable → AnyRef → Any
def transform(dataset: Dataset[_]): DataFrame

Definition Classes
SARModel → Transformer
def transform(rank: Int, userDataFrame: DataFrame, itemDataFrame: DataFrame, dataset: Dataset[_]): DataFrame

Definition Classes
BaseRecommendationModel
def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

Definition Classes
Transformer
Annotations
@Since( "2.0.0" )
def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

Definition Classes
Transformer
Annotations
@Since( "2.0.0" ) @varargs()
def transformSchema(schema: StructType): StructType

Definition Classes
SARModel → PipelineStage
def transformSchema(schema: StructType, logging: Boolean): StructType

Attributes
protected
Definition Classes
PipelineStage
Annotations
@DeveloperApi()
val uid: String

The id of the module
The id of the module

Definition Classes
SARModel → Identifiable
val userCol: Param[String]

Definition Classes
ALSModelParams
val userDataFrame: DataFrameParam
def validateAndTransformSchema(schema: StructType): StructType

Attributes
protected
Definition Classes
ALSParams
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def write: MLWriter

Definition Classes
ComplexParamsWritable → MLWritable

Related Docs: object SARModel | package spark

class SARModel extends Model[SARModel] with BaseRecommendationModel with Wrappable with SARParams with ComplexParamsWritable

Instance Constructors

new SARModel()

new SARModel(uid: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: Any): Boolean

val activityTimeFormat: Param[String]

val alpha: DoubleParam

final def asInstanceOf[T0]: T0

val checkedCast: UserDefinedFunction

final val checkpointInterval: IntParam

final def clear(param: Param[_]): SARModel.this.type

def clone(): AnyRef

val coldStartStrategy: Param[String]

def copy(extra: ParamMap): SARModel

def copyValues[T <: Params](to: T, extra: ParamMap): T

final def defaultCopy[T <: Params](extra: ParamMap): T

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

val finalStorageLevel: Param[String]

def finalize(): Unit

final def get[T](param: Param[T]): Option[T]

def getALSModel(uid: String, rank: Int, userFactors: DataFrame, itemFactors: DataFrame): ALSModel

def getAlpha: Double

final def getCheckpointInterval: Int

final def getClass(): Class[_]

def getColdStartStrategy: String

final def getDefault[T](param: Param[T]): Option[T]

def getFinalStorageLevel: String

def getImplicitPrefs: Boolean

def getIntermediateStorageLevel: String

def getItemCol: String

def getItemDataFrame: DataFrame

final def getMaxIter: Int

def getNonnegative: Boolean

def getNumItemBlocks: Int

def getNumUserBlocks: Int

final def getOrDefault[T](param: Param[T]): T

def getParam(paramName: String): Param[Any]

final def getPredictionCol: String

def getRank: Int

def getRatingCol: String

final def getRegParam: Double

final def getSeed: Long

def getUserCol: String

def getUserDataFrame: DataFrame

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hasParent: Boolean

def hashCode(): Int

val implicitPrefs: BooleanParam

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

val intermediateStorageLevel: Param[String]

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

final def isSet(param: Param[_]): Boolean

def isTraceEnabled(): Boolean

val itemCol: Param[String]

val itemDataFrame: DataFrameParam

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit