Class/Object

com.johnsnowlabs.nlp.annotators.assertion.logreg

AssertionLogRegApproach

Related Docs: object AssertionLogRegApproach | package logreg

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class AssertionLogRegApproach extends ApproachWithWordEmbeddings[AssertionLogRegApproach, AssertionLogRegModel] with Windowing

Created by jose on 22/11/17.

Linear Supertypes
Windowing, ApproachWithWordEmbeddings[AssertionLogRegApproach, AssertionLogRegModel], AutoCloseable, AnnotatorApproach[AssertionLogRegModel], DefaultParamsWritable, MLWritable, HasAnnotatorType, HasOutputAnnotationCol, HasInputAnnotationCols, Estimator[AssertionLogRegModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. AssertionLogRegApproach
  2. Windowing
  3. ApproachWithWordEmbeddings
  4. AutoCloseable
  5. AnnotatorApproach
  6. DefaultParamsWritable
  7. MLWritable
  8. HasAnnotatorType
  9. HasOutputAnnotationCol
  10. HasInputAnnotationCols
  11. Estimator
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new AssertionLogRegApproach()

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  2. new AssertionLogRegApproach(uid: String)

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Type Members

  1. type AnnotatorType = String

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    Definition Classes
    HasAnnotatorType

Value Members

  1. final def !=(arg0: Any): Boolean

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

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    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  5. lazy val after: Int

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    Definition Classes
    AssertionLogRegApproachWindowing
  6. val afterParam: IntParam

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  7. val annotatorType: AnnotatorType

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  8. def applyWindow(wvectors: WordEmbeddings)(doc: String, targetTerm: String, s: Int, e: Int): Array[Double]

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    Definition Classes
    Windowing
  9. def applyWindow(doc: String, target: String): (Array[String], Array[String], Array[String])

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    Definition Classes
    Windowing
  10. def applyWindow(doc: String, s: Int, e: Int): (Array[String], Array[String], Array[String])

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    Definition Classes
    Windowing
  11. def applyWindowUdf: UserDefinedFunction

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    Definition Classes
    Windowing
  12. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  13. lazy val before: Int

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    Definition Classes
    AssertionLogRegApproachWindowing
  14. val beforeParam: IntParam

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  15. def beforeTraining(spark: SparkSession): Unit

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

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    Definition Classes
    Params
  17. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. def close(): Unit

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    Definition Classes
    ApproachWithWordEmbeddings → AutoCloseable
  19. final def copy(extra: ParamMap): Estimator[AssertionLogRegModel]

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    Definition Classes
    AnnotatorApproach → Estimator → PipelineStage → Params
  20. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  21. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  22. val description: String

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  23. val eNetParam: DoubleParam

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  24. def embeddings(): Option[WordEmbeddings]

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    Definition Classes
    ApproachWithWordEmbeddings
  25. val embeddingsFormat: IntParam

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    Definition Classes
    ApproachWithWordEmbeddings
  26. val embeddingsNDims: IntParam

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    Definition Classes
    ApproachWithWordEmbeddings
  27. val endParam: Param[String]

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  28. final def eq(arg0: AnyRef): Boolean

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

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    Definition Classes
    AnyRef → Any
  30. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  31. def explainParams(): String

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    Definition Classes
    Params
  32. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  33. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  34. def extractTextUdf: UserDefinedFunction

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  35. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  36. final def fit(dataset: Dataset[_]): AssertionLogRegModel

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    Definition Classes
    AnnotatorApproach → Estimator
  37. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[AssertionLogRegModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  38. def fit(dataset: Dataset[_], paramMap: ParamMap): AssertionLogRegModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  39. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): AssertionLogRegModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  40. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  41. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  42. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  43. final def getInputCols: Array[String]

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    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  44. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  45. final def getOutputCol: String

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    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes
    HasOutputAnnotationCol
  46. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  47. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  48. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  49. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  50. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  51. final val inputCols: StringArrayParam

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    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  52. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  53. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  54. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  55. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  56. def l2norm(xs: Array[Double]): Double

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    Definition Classes
    Windowing
  57. val label: Param[String]

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  58. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  59. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  60. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  61. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  62. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  63. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  64. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  65. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  66. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  67. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  68. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  69. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  70. val maxIter: IntParam

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  71. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  72. def normalize(vec: Array[Double]): Array[Double]

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    Definition Classes
    Windowing
  73. final def notify(): Unit

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    Definition Classes
    AnyRef
  74. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  75. def onTrained(model: AssertionLogRegModel, spark: SparkSession): Unit

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  76. final val outputCol: Param[String]

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    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  77. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  78. val regParam: DoubleParam

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  79. val requiredAnnotatorTypes: Array[String]

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    Annotator reference id.

    Annotator reference id. Used to identify elements in metadata or to refer to this annotator type

    Definition Classes
    AssertionLogRegApproachHasInputAnnotationCols
  80. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  81. final def set(paramPair: ParamPair[_]): AssertionLogRegApproach.this.type

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    Attributes
    protected
    Definition Classes
    Params
  82. final def set(param: String, value: Any): AssertionLogRegApproach.this.type

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    Attributes
    protected
    Definition Classes
    Params
  83. final def set[T](param: Param[T], value: T): AssertionLogRegApproach.this.type

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    Definition Classes
    Params
  84. def setAfter(a: Int): AssertionLogRegApproach.this.type

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  85. def setBefore(b: Int): AssertionLogRegApproach.this.type

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

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    Attributes
    protected
    Definition Classes
    Params
  87. final def setDefault[T](param: Param[T], value: T): AssertionLogRegApproach.this.type

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    Attributes
    protected
    Definition Classes
    Params
  88. def setEmbeddingsSource(path: String, nDims: Int, format: String): AssertionLogRegApproach

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    Definition Classes
    ApproachWithWordEmbeddings
  89. def setEmbeddingsSource(path: String, nDims: Int, format: Format): AssertionLogRegApproach

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    Definition Classes
    ApproachWithWordEmbeddings
  90. def setEnd(end: String): AssertionLogRegApproach.this.type

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  91. def setEnet(enet: Double): AssertionLogRegApproach.this.type

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  92. final def setInputCols(value: String*): AssertionLogRegApproach.this.type

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    Definition Classes
    HasInputAnnotationCols
  93. final def setInputCols(value: Array[String]): AssertionLogRegApproach.this.type

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    Overrides required annotators column if different than default

    Overrides required annotators column if different than default

    Definition Classes
    HasInputAnnotationCols
  94. def setLabelCol(label: String): AssertionLogRegApproach.this.type

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  95. def setMaxIter(max: Int): AssertionLogRegApproach.this.type

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  96. final def setOutputCol(value: String): AssertionLogRegApproach.this.type

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    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  97. def setReg(lambda: Double): AssertionLogRegApproach.this.type

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  98. def setStart(start: String): AssertionLogRegApproach.this.type

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  99. def setTargetCol(target: String): AssertionLogRegApproach.this.type

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  100. val sourceEmbeddingsPath: Param[String]

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    Definition Classes
    ApproachWithWordEmbeddings
  101. val startParam: Param[String]

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

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    Definition Classes
    AnyRef
  103. val target: Param[String]

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  104. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  105. val tokenizer: Tokenizer

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    Definition Classes
    AssertionLogRegApproachWindowing
  106. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel] = None): AssertionLogRegModel

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  107. final def transformSchema(schema: StructType): StructType

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    requirement for pipeline transformation validation.

    requirement for pipeline transformation validation. It is called on fit()

    Definition Classes
    AnnotatorApproach → PipelineStage
  108. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  109. val uid: String

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    Definition Classes
    AssertionLogRegApproach → Identifiable
  110. def validate(schema: StructType): Boolean

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    takes a Dataset and checks to see if all the required annotation types are present.

    takes a Dataset and checks to see if all the required annotation types are present.

    schema

    to be validated

    returns

    True if all the required types are present, else false

    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  111. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  112. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  113. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  114. var wembeddings: Option[WordEmbeddings]

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    Definition Classes
    ApproachWithWordEmbeddings
  115. def wordVectors(): Option[WordEmbeddings]

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    Definition Classes
    AssertionLogRegApproachWindowing
  116. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from Windowing

Inherited from AutoCloseable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasAnnotatorType

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from Estimator[AssertionLogRegModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped