TrainerBuilder

Instance Constructors

new TrainerBuilder(param: TrainingParam = TrainingParam())

param
Training parameter

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
final def asInstanceOf[T0]: T0

Definition Classes
Any
def build[IN](network: Network[IN, DataVec], trainset: RDD[(IN, DataVec)], testset: RDD[(IN, DataVec)], objective: Objective, name: String)(implicit arg0: ClassTag[IN]): StaticTrainer[IN, DataVec]

Train network
Train network
IN
Type of input
network
Network
trainset
Train set
testset
Evaluation set
objective
Objective function
name
Name of trainer.
returns
trained network.
def build[IN, OUT](network: Network[IN, OUT], trainset: RDD[(IN, OUT)], testset: RDD[(IN, OUT)], objective: Objective, expectConverter: (OUT) ⇒ DataVec, name: String)(implicit arg0: ClassTag[IN], arg1: ClassTag[OUT]): StaticTrainer[IN, OUT]

Train network
Train network
IN
Type of input
OUT
Type of real output
network
Network
trainset
Train set
testset
Evaluation set
objective
Objective function
expectConverter
Function to convert real output into vector
name
Name of trainer.
returns
trained network.
def build[X, IN, OUT](network: Network[IN, OUT], trainset: RDD[X], testset: RDD[X], objective: Objective, expectConverter: (OUT) ⇒ DataVec, mapper: (X) ⇒ (IN, OUT), name: String = "temp")(implicit arg0: ClassTag[IN], arg1: ClassTag[OUT]): StaticTrainer[IN, OUT]

Train network
Train network
X
Type of given set
IN
Type of input
OUT
Type of real output
network
Network
trainset
Train set
testset
Evaluation set
objective
Objective function
expectConverter
Function to convert real output into vector
mapper
Function to convert item into (in, out) pair
name
Name of trainer.
returns
trained network.
def buildFlexible[IN, OUT](network: Network[IN, OUT], trainset: RDD[(IN, OUT)], testset: RDD[(IN, OUT)], objective: Objective, expectConverter: (OUT) ⇒ DataVec, name: String)(implicit arg0: ClassTag[IN], arg1: ClassTag[OUT]): FlexibleTrainer[IN, OUT]

Train network, real output vector is not fixed before evaluation.
Train network, real output vector is not fixed before evaluation.
IN
Type of input
OUT
Type of real output
network
Network
trainset
Train set
testset
Evaluation set
objective
Objective function
expectConverter
Function to convert real output into vector
name
Name of trainer.
returns
trained network.
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
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
val param: TrainingParam

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

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
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 train

class TrainerBuilder extends AnyRef

Instance Constructors

new TrainerBuilder(param: TrainingParam = TrainingParam())

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def build[IN](network: Network[IN, DataVec], trainset: RDD[(IN, DataVec)], testset: RDD[(IN, DataVec)], objective: Objective, name: String)(implicit arg0: ClassTag[IN]): StaticTrainer[IN, DataVec]

def build[IN, OUT](network: Network[IN, OUT], trainset: RDD[(IN, OUT)], testset: RDD[(IN, OUT)], objective: Objective, expectConverter: (OUT) ⇒ DataVec, name: String)(implicit arg0: ClassTag[IN], arg1: ClassTag[OUT]): StaticTrainer[IN, OUT]

def build[X, IN, OUT](network: Network[IN, OUT], trainset: RDD[X], testset: RDD[X], objective: Objective, expectConverter: (OUT) ⇒ DataVec, mapper: (X) ⇒ (IN, OUT), name: String = "temp")(implicit arg0: ClassTag[IN], arg1: ClassTag[OUT]): StaticTrainer[IN, OUT]

def buildFlexible[IN, OUT](network: Network[IN, OUT], trainset: RDD[(IN, OUT)], testset: RDD[(IN, OUT)], objective: Objective, expectConverter: (OUT) ⇒ DataVec, name: String)(implicit arg0: ClassTag[IN], arg1: ClassTag[OUT]): FlexibleTrainer[IN, OUT]

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val param: TrainingParam

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from AnyRef

Inherited from Any

Ungrouped