LDARunner

Instance Constructors

new LDARunner()

Value Members

final def !=(arg0: Any): Boolean

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

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val LOG: Log
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
def incTrain(conf: Configuration): Unit

Incremental training job to obtain a model based on a trained model
Incremental training job to obtain a model based on a trained model

Definition Classes
LDARunner → MLRunner
final def isInstanceOf[T0]: Boolean

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def predict(conf: Configuration): Unit

Using a model to predict with unobserved samples
Using a model to predict with unobserved samples

Definition Classes
LDARunner → MLRunner
final def predict(conf: Configuration, model: MLModel, taskClass: Class[_ <: BaseTask[_, _, _]]): Unit

Default predict method with standard predict process.
Default predict method with standard predict process. Don't try to override this Method.

Attributes
protected
Definition Classes
MLRunner
def submit(conf: Configuration): Unit

Definition Classes
MLRunner → AppSubmitter
Annotations
@throws( ... )
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def train(conf: Configuration): Unit

Training job to obtain a model
Training job to obtain a model

Definition Classes
LDARunner → MLRunner
final def train(conf: Configuration, model: MLModel, taskClass: Class[_ <: BaseTask[_, _, _]]): Unit

Default train method with standard training process.
Default train method with standard training process. Don't Override this method.

Attributes
protected
Definition Classes
MLRunner
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( ... )

Related Doc: package warplda

class LDARunner extends MLRunner

Instance Constructors

new LDARunner()

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val LOG: Log

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def incTrain(conf: Configuration): Unit

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def predict(conf: Configuration): Unit

final def predict(conf: Configuration, model: MLModel, taskClass: Class[_ <: BaseTask[_, _, _]]): Unit

def submit(conf: Configuration): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

def train(conf: Configuration): Unit

final def train(conf: Configuration, model: MLModel, taskClass: Class[_ <: BaseTask[_, _, _]]): Unit

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from MLRunner

Inherited from AppSubmitter

Inherited from AnyRef

Inherited from Any

Ungrouped