class RankingAdapter extends Estimator[RankingAdapterModel] with ComplexParamsWritable with RankingParams with Mode with Wrappable with SynapseMLLogging
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def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
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final
def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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lazy val
classNameHelper: String
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final
def
clear(param: Param[_]): RankingAdapter.this.type
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def
clone(): AnyRef
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def
companionModelClassName: String
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def
copy(extra: ParamMap): RankingAdapter
- Definition Classes
- RankingAdapter → Estimator → PipelineStage → Params
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
- Attributes
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- Definition Classes
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lazy val
copyrightLines: String
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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def
dotnetAdditionalMethods: String
- Definition Classes
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def
dotnetClass(): String
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lazy val
dotnetClassName: String
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lazy val
dotnetClassNameString: String
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lazy val
dotnetClassWrapperName: String
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lazy val
dotnetCopyrightLines: String
- Attributes
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def
dotnetExtraEstimatorImports: String
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def
dotnetExtraMethods: String
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lazy val
dotnetInternalWrapper: Boolean
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def
dotnetMLReadWriteMethods: String
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lazy val
dotnetNamespace: String
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lazy val
dotnetObjectBaseClass: String
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def
dotnetParamGetter(p: Param[_]): String
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def
dotnetParamGetters: String
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def
dotnetParamSetter(p: Param[_]): String
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def
dotnetParamSetters: String
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def
dotnetWrapAsTypeMethod: String
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
explainParam(param: Param[_]): String
- Definition Classes
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def
explainParams(): String
- Definition Classes
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final
def
extractParamMap(): ParamMap
- Definition Classes
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
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def
finalize(): Unit
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- protected[lang]
- Definition Classes
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- @throws( classOf[java.lang.Throwable] )
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def
fit(dataset: Dataset[_]): RankingAdapterModel
- Definition Classes
- RankingAdapter → Estimator
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def
fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[RankingAdapterModel]
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], paramMap: ParamMap): RankingAdapterModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" )
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def
fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RankingAdapterModel
- Definition Classes
- Estimator
- Annotations
- @Since( "2.0.0" ) @varargs()
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final
def
get[T](param: Param[T]): Option[T]
- Definition Classes
- Params
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final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
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- @native()
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
- Params
-
def
getItemCol: String
- Definition Classes
- HasRecommenderCols
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def
getK: Int
- Definition Classes
- hasK
-
def
getLabelCol: String
- Definition Classes
- HasLabelCol
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def
getMinRatingsPerItem: Int
- Definition Classes
- RankingParams
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def
getMinRatingsPerUser: Int
- Definition Classes
- RankingParams
-
def
getMode: String
- Definition Classes
- Mode
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
-
def
getParam(paramName: String): Param[Any]
- Definition Classes
- Params
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def
getParamInfo(p: Param[_]): ParamInfo[_]
- Definition Classes
- BaseWrappable
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def
getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
getRatingCol: String
- Definition Classes
- HasRecommenderCols
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def
getRecommender: Estimator[_ <: Model[_]]
- Definition Classes
- RankingParams
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def
getUserCol: String
- Definition Classes
- HasRecommenderCols
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
- Params
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def
hasParam(paramName: String): Boolean
- Definition Classes
- Params
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def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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def
initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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def
initializeLogIfNecessary(isInterpreter: Boolean): Unit
- Attributes
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- Definition Classes
- Logging
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final
def
isDefined(param: Param[_]): Boolean
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
- Params
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def
isTraceEnabled(): Boolean
- Attributes
- protected
- Definition Classes
- Logging
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val
itemCol: Param[String]
- Definition Classes
- HasRecommenderCols
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val
k: IntParam
- Definition Classes
- hasK
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val
labelCol: Param[String]
The name of the label column
The name of the label column
- Definition Classes
- HasLabelCol
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def
log: Logger
- Attributes
- protected
- Definition Classes
- Logging
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def
logBase(info: Map[String, String], featureName: Option[String]): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
- Attributes
- protected
- Definition Classes
- SynapseMLLogging
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def
logClass(featureName: String): Unit
- Definition Classes
- SynapseMLLogging
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def
logDebug(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
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- Definition Classes
- Logging
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def
logDebug(msg: ⇒ String): Unit
- Attributes
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- Logging
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def
logError(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
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- Definition Classes
- Logging
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def
logError(msg: ⇒ String): Unit
- Attributes
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- Definition Classes
- Logging
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def
logErrorBase(methodName: String, e: Exception): Unit
- Attributes
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- Definition Classes
- SynapseMLLogging
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def
logFit[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
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def
logInfo(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
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def
logInfo(msg: ⇒ String): Unit
- Attributes
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- Logging
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def
logName: String
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- Logging
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def
logTrace(msg: ⇒ String, throwable: Throwable): Unit
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- Definition Classes
- Logging
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def
logTrace(msg: ⇒ String): Unit
- Attributes
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- Definition Classes
- Logging
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def
logTransform[T](f: ⇒ T, columns: Int): T
- Definition Classes
- SynapseMLLogging
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def
logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
- Definition Classes
- SynapseMLLogging
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def
logWarning(msg: ⇒ String, throwable: Throwable): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
logWarning(msg: ⇒ String): Unit
- Attributes
- protected
- Definition Classes
- Logging
-
def
makeDotnetFile(conf: CodegenConfig): Unit
- Definition Classes
- DotnetWrappable
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def
makePyFile(conf: CodegenConfig): Unit
- Definition Classes
- PythonWrappable
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def
makeRFile(conf: CodegenConfig): Unit
- Definition Classes
- RWrappable
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val
minRatingsPerItem: IntParam
- Definition Classes
- RankingParams
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val
minRatingsPerUser: IntParam
- Definition Classes
- RankingParams
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val
mode: Param[String]
- Definition Classes
- Mode
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
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final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
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final
def
notifyAll(): Unit
- Definition Classes
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- @native()
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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def
pyAdditionalMethods: String
- Definition Classes
- PythonWrappable
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lazy val
pyClassDoc: String
- Attributes
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- Definition Classes
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lazy val
pyClassName: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyExtraEstimatorImports: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyExtraEstimatorMethods: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyInheritedClasses: Seq[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyInitFunc(): String
- Definition Classes
- PythonWrappable
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lazy val
pyInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyObjectBaseClass: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamDefault[T](p: Param[T]): Option[String]
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pyParamGetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamSetter(p: Param[_]): String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsArgs: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsDefaults: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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lazy val
pyParamsDefinitions: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsGetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
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def
pyParamsSetters: String
- Attributes
- protected
- Definition Classes
- PythonWrappable
-
def
pythonClass(): String
- Attributes
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- Definition Classes
- PythonWrappable
-
def
rClass(): String
- Attributes
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- Definition Classes
- RWrappable
-
def
rDocString: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rExtraBodyLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rExtraInitLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
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lazy val
rFuncName: String
- Attributes
- protected
- Definition Classes
- RWrappable
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lazy val
rInternalWrapper: Boolean
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamArg[T](p: Param[T]): String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rParamsArgs: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
def
rSetterLines: String
- Attributes
- protected
- Definition Classes
- RWrappable
-
val
ratingCol: Param[String]
- Definition Classes
- HasRecommenderCols
-
val
recommender: EstimatorParam
- Definition Classes
- RankingParams
-
def
save(path: String): Unit
- Definition Classes
- MLWritable
- Annotations
- @Since( "1.6.0" ) @throws( ... )
-
final
def
set(paramPair: ParamPair[_]): RankingAdapter.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set(param: String, value: Any): RankingAdapter.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
set[T](param: Param[T], value: T): RankingAdapter.this.type
- Definition Classes
- Params
-
final
def
setDefault(paramPairs: ParamPair[_]*): RankingAdapter.this.type
- Attributes
- protected
- Definition Classes
- Params
-
final
def
setDefault[T](param: Param[T], value: T): RankingAdapter.this.type
- Attributes
- protected
- Definition Classes
- Params
-
def
setItemCol(value: String): RankingAdapter.this.type
- Definition Classes
- HasRecommenderCols
-
def
setK(value: Int): RankingAdapter.this.type
- Definition Classes
- hasK
-
def
setLabelCol(value: String): RankingAdapter.this.type
- Definition Classes
- HasLabelCol
-
def
setMinRatingsPerItem(value: Int): RankingAdapter.this.type
- Definition Classes
- RankingParams
-
def
setMinRatingsPerUser(value: Int): RankingAdapter.this.type
- Definition Classes
- RankingParams
-
def
setMode(value: String): RankingAdapter.this.type
- Definition Classes
- Mode
-
def
setRatingCol(value: String): RankingAdapter.this.type
- Definition Classes
- HasRecommenderCols
-
def
setRecommender(value: Estimator[_ <: Model[_]]): RankingAdapter.this.type
- Definition Classes
- RankingAdapter → RankingParams
-
def
setUserCol(value: String): RankingAdapter.this.type
- Definition Classes
- HasRecommenderCols
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
thisStage: Params
- Attributes
- protected
- Definition Classes
- BaseWrappable
-
def
toString(): String
- Definition Classes
- Identifiable → AnyRef → Any
-
def
transformSchema(schema: StructType): StructType
- Definition Classes
- RankingAdapter → Mode → PipelineStage
-
def
transformSchema(schema: StructType, logging: Boolean): StructType
- Attributes
- protected
- Definition Classes
- PipelineStage
- Annotations
- @DeveloperApi()
-
val
uid: String
- Definition Classes
- RankingAdapter → SynapseMLLogging → 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( ... ) @native()
-
def
write: MLWriter
- Definition Classes
- ComplexParamsWritable → MLWritable