StaticTrainer

Instance Constructors

new StaticTrainer(network: Network[IN, OUT], objective: Objective, trainSet: RDD[(IN, DataVec)], testSet: RDD[(IN, DataVec)], name: String, param: TrainingParam)(implicit arg0: ClassTag[IN], arg1: ClassTag[OUT], arg2: ClassTag[DataVec])

network
Network
objective
Objective function
trainSet
Train set
testSet
Evaluation set
name
Name of trainer
param
Training parameter

Type Members

class LocalSampler extends Iterator[Seq[(IN, EXP)]]

Sampling iterator, from local
Sampling iterator, from local

Definition Classes
Trainer
class RDDSampler extends Iterator[Seq[(IN, EXP)]]

Sampling iterator, from RDD
Sampling iterator, from RDD

Definition Classes
Trainer

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
val batchSampler: Iterator[Seq[(IN, DataVec)]]

Sampler for mini-batch
Sampler for mini-batch

Attributes
protected
Definition Classes
Trainer
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
implicit val evidence$1: ClassTag[IN]

class tag of input
class tag of input

Definition Classes
StaticTrainer → Trainer
implicit val evidence$2: ClassTag[OUT]

class tag of output
class tag of output

Definition Classes
StaticTrainer → Trainer
implicit val evidence$3: ClassTag[DataVec]

class tag of vector
class tag of vector

Definition Classes
StaticTrainer → Trainer
val file: File

Temporary file path of network
Temporary file path of network

Attributes
protected
Definition Classes
Trainer
def finalize(): Unit

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

Definition Classes
AnyRef → Any
final def getMaxEpoch(epoch: Int, patience: Int): Int

Get next maximum epoch.
Get next maximum epoch.
epoch
Current epoch
patience
Current maximum iteration count
returns
maximum epoch

Attributes
protected
Definition Classes
Trainer
def getStatus: (Int, Double, Double)

Definition Classes
Trainer
final def getTrainedNetwork: Network[IN, OUT]

Train using given RDD sequence.
Train using given RDD sequence.

Definition Classes
Trainer
def getValidationErr: (Double, Double)

Calculate validation error of evaluation set
Calculate validation error of evaluation set
returns
Evaluation loss

Attributes
protected
Definition Classes
StaticTrainer → Trainer
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val logfile: File

Attributes
protected
Definition Classes
Trainer
val logger: Logger

Logger
Logger

Attributes
protected
Definition Classes
Trainer
val name: String

Name of trainer
Name of trainer

Definition Classes
StaticTrainer → Trainer
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
var network: Network[IN, OUT]

Network
Network

Definition Classes
StaticTrainer → Trainer
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val objective: Objective

Objective function
Objective function

Definition Classes
StaticTrainer → Trainer
val param: TrainingParam

Training parameter
Training parameter

Definition Classes
StaticTrainer → Trainer
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val testSet: RDD[(IN, DataVec)]

Evaluation set
Evaluation set

Definition Classes
StaticTrainer → Trainer
def toString(): String

Definition Classes
AnyRef → Any
val trainSet: RDD[(IN, DataVec)]

Train set
Train set

Definition Classes
StaticTrainer → Trainer
final def trainSmallBatch(epoch: Int, patience: Int): Unit

Train single small batch
Train single small batch
epoch
current epoch
patience
current max iteration

Attributes
protected
Definition Classes
StaticTrainer → Trainer
Annotations
@tailrec()
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 StaticTrainer[IN, OUT] extends Trainer[IN, DataVec, OUT]

Instance Constructors

new StaticTrainer(network: Network[IN, OUT], objective: Objective, trainSet: RDD[(IN, DataVec)], testSet: RDD[(IN, DataVec)], name: String, param: TrainingParam)(implicit arg0: ClassTag[IN], arg1: ClassTag[OUT], arg2: ClassTag[DataVec])

Type Members

class LocalSampler extends Iterator[Seq[(IN, EXP)]]

class RDDSampler extends Iterator[Seq[(IN, EXP)]]

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

val batchSampler: Iterator[Seq[(IN, DataVec)]]

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

implicit val evidence$1: ClassTag[IN]

implicit val evidence$2: ClassTag[OUT]

implicit val evidence$3: ClassTag[DataVec]

val file: File

def finalize(): Unit

final def getClass(): Class[_]

final def getMaxEpoch(epoch: Int, patience: Int): Int

def getStatus: (Int, Double, Double)

final def getTrainedNetwork: Network[IN, OUT]

def getValidationErr: (Double, Double)

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

val logfile: File

val logger: Logger

val name: String

final def ne(arg0: AnyRef): Boolean

var network: Network[IN, OUT]

final def notify(): Unit

final def notifyAll(): Unit

val objective: Objective

val param: TrainingParam

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

val testSet: RDD[(IN, DataVec)]

def toString(): String

val trainSet: RDD[(IN, DataVec)]

final def trainSmallBatch(epoch: Int, patience: Int): Unit

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Trainer[IN, DataVec, OUT]

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped