SentenceDetectorParams

abstract def copy(extra: ParamMap): Params

abstract val uid: String

final def !=(arg0: Any): Boolean

final def ##(): Int

final def $[T](param: Param[T]): T

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

final def clear(param: Param[_]): SentenceDetectorParams.this.type

def clone(): AnyRef

def copyValues[T <: Params](to: T, extra: ParamMap): T

val customBounds: StringArrayParam

characters used to explicitly mark sentence bounds

final def defaultCopy[T <: Params](extra: ParamMap): T

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def explainParam(param: Param[_]): String

def explainParams(): String

val explodeSentences: BooleanParam

whether to explode each sentence into a different row, for better parallelization.

final def extractParamMap(): ParamMap

final def extractParamMap(extra: ParamMap): ParamMap

def finalize(): Unit

final def get[T](param: Param[T]): Option[T]

final def getClass(): Class[_]

def getCustomBounds: Array[String]

Custom sentence separator text

final def getDefault[T](param: Param[T]): Option[T]

def getExplodeSentences: Boolean

Whether to split sentences into different Dataset rows.

def getMaxLength(value: Int): Int

Get the maximum allowed length for each sentence

def getMinLength(value: Int): Int

Get the minimum allowed length for each sentence

final def getOrDefault[T](param: Param[T]): T

def getParam(paramName: String): Param[Any]

def getSplitLength: Int

Length at which sentences will be forcibly split

def getUseAbbreviations: Boolean

Whether to consider abbreviation strategies for better accuracy but slower performance.

def getUseCustomBoundsOnly: Boolean

Use only custom bounds without considering those of Pragmatic Segmenter.

final def hasDefault[T](param: Param[T]): Boolean

def hasParam(paramName: String): Boolean

def hashCode(): Int

final def isDefined(param: Param[_]): Boolean

final def isInstanceOf[T0]: Boolean

final def isSet(param: Param[_]): Boolean

val maxLength: IntParam

Set the maximum allowed length for each sentence

val minLength: IntParam

Set the minimum allowed length for each sentence

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

lazy val params: Array[Param[_]]

final def set(paramPair: ParamPair[_]): SentenceDetectorParams.this.type

final def set(param: String, value: Any): SentenceDetectorParams.this.type

final def set[T](param: Param[T], value: T): SentenceDetectorParams.this.type

def setCustomBounds(value: Array[String]): SentenceDetectorParams.this.type

Custom sentence separator text

final def setDefault(paramPairs: ParamPair[_]*): SentenceDetectorParams.this.type

final def setDefault[T](param: Param[T], value: T): SentenceDetectorParams.this.type

def setExplodeSentences(value: Boolean): SentenceDetectorParams.this.type

Whether to split sentences into different Dataset rows.

def setMaxLength(value: Int): SentenceDetectorParams.this.type

Set the maximum allowed length for each sentence

def setMinLength(value: Int): SentenceDetectorParams.this.type

Set the minimum allowed length for each sentence

def setSplitLength(value: Int): SentenceDetectorParams.this.type

Length at which sentences will be forcibly split

def setUseAbbreviations(value: Boolean): SentenceDetectorParams.this.type

Whether to consider abbreviation strategies for better accuracy but slower performance.

def setUseCustomBoundsOnly(value: Boolean): SentenceDetectorParams.this.type

Use only custom bounds without considering those of Pragmatic Segmenter.

val splitLength: IntParam

length at which sentences will be forcibly split.

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

def toString(): String

def truncateSentence(sentence: String, maxLength: Int): Array[String]

val useAbbrevations: BooleanParam

whether to apply abbreviations at sentence detection

val useCustomBoundsOnly: BooleanParam

whether to only utilize custom bounds for sentence detection

final def wait(): Unit

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

final def wait(arg0: Long): Unit