RankingAdapterModel

Instance Constructors

new RankingAdapterModel()

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
def additionalPythonMethods(): String

Definition Classes
Wrappable
final def asInstanceOf[T0]: T0

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

Definition Classes
Params
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def copy(extra: ParamMap): RankingAdapterModel

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

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

Definition Classes
Params
def getItemCol: String

Definition Classes
HasRecommenderCols
def getK: Int

Definition Classes
hasK
def getLabelCol: String

Definition Classes
HasLabelCol
def getMinRatingsPerItem: Int

Definition Classes
RankingParams
def getMinRatingsPerUser: Int

Definition Classes
RankingParams
def getMode: String

Definition Classes
Mode
final def getOrDefault[T](param: Param[T]): T

Definition Classes
Params
def getParam(paramName: String): Param[Any]

Definition Classes
Params
def getRatingCol: String

Definition Classes
HasRecommenderCols
def getRecommender: Estimator[_ <: Model[_]]

Definition Classes
RankingParams
def getRecommenderModel: Model[_]
def getUserCol: String

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

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

Attributes
protected
Definition Classes
Logging
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
HasRecommenderCols
val k: IntParam

Definition Classes
hasK
val labelCol: Param[String]

The name of the label column
The name of the label column

Definition Classes
HasLabelCol
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
val minRatingsPerItem: IntParam

Definition Classes
RankingParams
val minRatingsPerUser: IntParam

Definition Classes
RankingParams
val mode: Param[String]

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

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

Definition Classes
Params
var parent: Estimator[RankingAdapterModel]

Definition Classes
Model
val ratingCol: Param[String]

Definition Classes
HasRecommenderCols
def recommendForAllUsers(k: Int): DataFrame
val recommender: EstimatorParam

Definition Classes
RankingParams
val recommenderModel: TransformerParam
def save(path: String): Unit

Definition Classes
MLWritable
Annotations
@Since( "1.6.0" ) @throws( ... )
final def set(paramPair: ParamPair[_]): RankingAdapterModel.this.type

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

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

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

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

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

Definition Classes
HasRecommenderCols
def setK(value: Int): RankingAdapterModel.this.type

Definition Classes
hasK
def setLabelCol(value: String): RankingAdapterModel.this.type

Definition Classes
HasLabelCol
def setMinRatingsPerItem(value: Int): RankingAdapterModel.this.type

Definition Classes
RankingParams
def setMinRatingsPerUser(value: Int): RankingAdapterModel.this.type

Definition Classes
RankingParams
def setMode(value: String): RankingAdapterModel.this.type

Definition Classes
Mode
def setParent(parent: Estimator[RankingAdapterModel]): RankingAdapterModel

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

Definition Classes
HasRecommenderCols
def setRecommender(value: Estimator[_ <: Model[_]]): RankingAdapterModel.this.type

Definition Classes
RankingParams
def setRecommenderModel(m: Model[_]): RankingAdapterModel.this.type
def setUserCol(value: String): RankingAdapterModel.this.type

Definition Classes
HasRecommenderCols
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

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

Definition Classes
RankingAdapterModel → Transformer
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
Mode
def transformSchema(schema: StructType, logging: Boolean): StructType

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

Id.
Id.

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

Definition Classes
HasRecommenderCols
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 RankingAdapterModel | package recommendation

class RankingAdapterModel extends Model[RankingAdapterModel] with ComplexParamsWritable with Wrappable with RankingParams with Mode

Instance Constructors

new RankingAdapterModel()

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

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

final def ==(arg0: Any): Boolean

def additionalPythonMethods(): String

final def asInstanceOf[T0]: T0

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

def clone(): AnyRef

def copy(extra: ParamMap): RankingAdapterModel

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

def finalize(): Unit

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

final def getClass(): Class[_]

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

def getItemCol: String

def getK: Int

def getLabelCol: String

def getMinRatingsPerItem: Int

def getMinRatingsPerUser: Int

def getMode: String

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

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

def getRatingCol: String

def getRecommender: Estimator[_ <: Model[_]]

def getRecommenderModel: Model[_]

def getUserCol: String

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

def hasParam(paramName: String): Boolean

def hasParent: Boolean

def hashCode(): Int

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

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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 k: IntParam

val labelCol: Param[String]

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

def logWarning(msg: ⇒ String): Unit

val minRatingsPerItem: IntParam

val minRatingsPerUser: IntParam

val mode: Param[String]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

lazy val params: Array[Param[_]]

var parent: Estimator[RankingAdapterModel]

val ratingCol: Param[String]

def recommendForAllUsers(k: Int): DataFrame

val recommender: EstimatorParam

val recommenderModel: TransformerParam

def save(path: String): Unit

final def set(paramPair: ParamPair[_]): RankingAdapterModel.this.type

final def set(param: String, value: Any): RankingAdapterModel.this.type

final def set[T](param: Param[T], value: T): RankingAdapterModel.this.type