Options

Instance Constructors

new Options()
new Options(argv: Array[String])
new Options(argv: Array[String], optHandler: BaseOptionHandler, processArgs: Boolean = true)

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
var CValue: Double
def addToRequired(s: String): Unit
val argv: Array[String]
final def asInstanceOf[T0]: T0

Definition Classes
Any
var batchSize: Int
var boundaries: Tagset
def checkRequired(ss: String*): Unit
def checkRequired(): Unit
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
var confidences: Boolean
def copy(): Options
var diskCache: Option[String]
var dispLexDir: Option[String]
var eachIteration: Boolean
var empDistTrain: Boolean
var entropyThreshold: Boolean
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
var evaluate: Option[String]
var featureSpec: Option[String]
def finalize(): Unit

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

Definition Classes
AnyRef → Any
var granularity: Int
def hashCode(): Int

Definition Classes
AnyRef → Any
var hiddenLearningRate: Option[String]
var inducedFVecsFile: Option[String]
var initialModel: Option[String]
var inputDir: Option[String]
var inputFile: Option[String]
var inputFilter: Option[String]
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
var keepToks: Boolean
var l1: Boolean
var learningRate: Double
var lexDir: Option[String]
var mat2: Boolean
var maxIters: Int
var mode: Option[String]
var model: Option[String]
var modelDump: Option[String]
var momentum: Double
var multiLine: Boolean
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
var neural: Boolean
var noBegin: Boolean
var noCache: Boolean
var noSentBreak: Boolean
var nonFactoredFeatureSpec: Option[String]
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
var numCPUs: Option[Int]
var numGates: Int
var numRandomFeatures: Int
var numStates: Option[Int]
var numThreads: Option[Int]
var oneHot: Boolean
val optHandler: BaseOptionHandler
var outSuffix: Option[String]
var outputDir: Option[String]
var outputFile: Option[String]
var pAlpha: Double
var parallel: Boolean
var partialLabels: Boolean
var partialThreshold: Double
var posteriors: Boolean
var preModels: List[String]
var preProc: Boolean
var priorAdjust: Option[Double]
var priorWeightFile: Option[String]
val processArgs: Boolean
var psa: Boolean
var psaPeriodSize: Int
var randomFeatureCoefficient: Double
var randomFeatures: Boolean
var randomSupportedFeatures: Boolean
var rawCache: Boolean
var rawDecode: Boolean
var report: Option[String]
var required: List[String]
var seed: Option[Int]
var selfInducedIterations: Int
var semiCrf: Boolean
def setInto(no: Options): Unit
var sgd: Boolean
var streaming: Boolean
var stripOriginalTags: Boolean
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
var tagset: Tagset
implicit def toIntOption(s: Option[String]): Option[Int]
def toString(): String

Definition Classes
AnyRef → Any
var tokenizerPatterns: Option[String]
var train: Boolean
var uncertainTag: Option[String]
var unlabeledInputDir: Option[String]
var useSpaces: Boolean
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( ... )
var weightedFeatureMap: Option[String]
var wordPropFile: Option[String]
var wordScoreFile: Option[String]
var xValFolds: Option[Int]
var zoneset: Tagset

Related Doc: package util

class Options extends Serializable

Instance Constructors

new Options()

new Options(argv: Array[String])

new Options(argv: Array[String], optHandler: BaseOptionHandler, processArgs: Boolean = true)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var CValue: Double

def addToRequired(s: String): Unit

val argv: Array[String]

final def asInstanceOf[T0]: T0

var batchSize: Int

var boundaries: Tagset

def checkRequired(ss: String*): Unit

def checkRequired(): Unit

def clone(): AnyRef

var confidences: Boolean

def copy(): Options

var diskCache: Option[String]

var dispLexDir: Option[String]

var eachIteration: Boolean

var empDistTrain: Boolean

var entropyThreshold: Boolean

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

var evaluate: Option[String]

var featureSpec: Option[String]

def finalize(): Unit

var gaussian: Double

final def getClass(): Class[_]

var granularity: Int

def hashCode(): Int

var hiddenLearningRate: Option[String]

var inducedFVecsFile: Option[String]

var initialModel: Option[String]

var inputDir: Option[String]

var inputFile: Option[String]

var inputFilter: Option[String]

final def isInstanceOf[T0]: Boolean

var keepToks: Boolean

var l1: Boolean

var learningRate: Double

var lexDir: Option[String]

var mat2: Boolean

var maxIters: Int

var mode: Option[String]

var model: Option[String]

var modelDump: Option[String]

var momentum: Double

var multiLine: Boolean

final def ne(arg0: AnyRef): Boolean

var neural: Boolean

var noBegin: Boolean

var noCache: Boolean

var noSentBreak: Boolean

var nonFactoredFeatureSpec: Option[String]

final def notify(): Unit

final def notifyAll(): Unit

var numCPUs: Option[Int]

var numGates: Int

var numRandomFeatures: Int

var numStates: Option[Int]

var numThreads: Option[Int]

var oneHot: Boolean

val optHandler: BaseOptionHandler

var outSuffix: Option[String]

var outputDir: Option[String]

var outputFile: Option[String]

var pAlpha: Double

var parallel: Boolean

var partialLabels: Boolean

var partialThreshold: Double

var posteriors: Boolean

var preModels: List[String]

var preProc: Boolean

var priorAdjust: Option[Double]