class LegalBertForTokenClassification extends MedicalBertForTokenClassifier

Linear Supertypes
MedicalBertForTokenClassifier, CheckLicense, HasEngine, HasCaseSensitiveProperties, InternalWriteOnnxModel, WriteTensorflowModel, HasBatchedAnnotate[MedicalBertForTokenClassifier], AnnotatorModel[MedicalBertForTokenClassifier], CanBeLazy, RawAnnotator[MedicalBertForTokenClassifier], HasOutputAnnotationCol, HasInputAnnotationCols, HasOutputAnnotatorType, ParamsAndFeaturesWritable, HasFeatures, DefaultParamsWritable, MLWritable, Model[MedicalBertForTokenClassifier], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. LegalBertForTokenClassification
  2. MedicalBertForTokenClassifier
  3. CheckLicense
  4. HasEngine
  5. HasCaseSensitiveProperties
  6. InternalWriteOnnxModel
  7. WriteTensorflowModel
  8. HasBatchedAnnotate
  9. AnnotatorModel
  10. CanBeLazy
  11. RawAnnotator
  12. HasOutputAnnotationCol
  13. HasInputAnnotationCols
  14. HasOutputAnnotatorType
  15. ParamsAndFeaturesWritable
  16. HasFeatures
  17. DefaultParamsWritable
  18. MLWritable
  19. Model
  20. Transformer
  21. PipelineStage
  22. Logging
  23. Params
  24. Serializable
  25. Serializable
  26. Identifiable
  27. AnyRef
  28. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LegalBertForTokenClassification()

    Annotator reference id.

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

  2. new LegalBertForTokenClassification(uid: String)

Type Members

  1. type AnnotationContent = Seq[Row]
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  2. type AnnotatorType = String
    Definition Classes
    HasOutputAnnotatorType

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. def $$[T](feature: StructFeature[T]): T
    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]
    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: SetFeature[T]): Set[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  7. def $$[T](feature: ArrayFeature[T]): Array[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  8. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def _transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  10. def afterAnnotate(dataset: DataFrame): DataFrame
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  11. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  12. def batchAnnotate(batchedAnnotations: Seq[Array[Annotation]]): Seq[Seq[Annotation]]

    takes a document and annotations and produces new annotations of this annotator's annotation type

    takes a document and annotations and produces new annotations of this annotator's annotation type

    batchedAnnotations

    Annotations that correspond to inputAnnotationCols generated by previous annotators if any

    returns

    any number of annotations processed for every input annotation. Not necessary one to one relationship

    Definition Classes
    LegalBertForTokenClassification → MedicalBertForTokenClassifier → HasBatchedAnnotate
  13. def batchProcess(rows: Iterator[_]): Iterator[Row]
    Definition Classes
    HasBatchedAnnotate
  14. val batchSize: IntParam
    Definition Classes
    HasBatchedAnnotate
  15. def beforeAnnotate(dataset: Dataset[_]): Dataset[_]
    Attributes
    protected
    Definition Classes
    LegalBertForTokenClassification → MedicalBertForTokenClassifier → AnnotatorModel
  16. val caseSensitive: BooleanParam
    Definition Classes
    HasCaseSensitiveProperties
  17. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  18. def checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String]): Unit
    Definition Classes
    CheckLicense
  19. def checkValidScope(scope: String): Unit
    Definition Classes
    CheckLicense
  20. def checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean): Unit
    Definition Classes
    CheckLicense
  21. def checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean): Unit
    Definition Classes
    CheckLicense
  22. final def clear(param: Param[_]): LegalBertForTokenClassification.this.type
    Definition Classes
    Params
  23. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  24. val configProtoBytes: IntArrayParam

    ConfigProto from tensorflow, serialized into byte array.

    ConfigProto from tensorflow, serialized into byte array. Get with config_proto.SerializeToString()

    Definition Classes
    MedicalBertForTokenClassifier
  25. def copy(extra: ParamMap): MedicalBertForTokenClassifier
    Definition Classes
    RawAnnotator → Model → Transformer → PipelineStage → Params
  26. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  27. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  28. val engine: Param[String]
    Definition Classes
    HasEngine
  29. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  30. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  31. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  32. def explainParams(): String
    Definition Classes
    Params
  33. def extraValidate(structType: StructType): Boolean
    Attributes
    protected
    Definition Classes
    RawAnnotator
  34. def extraValidateMsg: String
    Attributes
    protected
    Definition Classes
    RawAnnotator
  35. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  36. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  37. val features: ArrayBuffer[Feature[_, _, _]]
    Definition Classes
    HasFeatures
  38. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  39. def get[T](feature: StructFeature[T]): Option[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  40. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  41. def get[T](feature: SetFeature[T]): Option[Set[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  42. def get[T](feature: ArrayFeature[T]): Option[Array[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  43. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  44. def getBatchSize: Int
    Definition Classes
    HasBatchedAnnotate
  45. def getCaseSensitive: Boolean
    Definition Classes
    HasCaseSensitiveProperties
  46. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  47. def getClasses: Array[String]

    Returns labels used to train this model

    Returns labels used to train this model

    Definition Classes
    MedicalBertForTokenClassifier
  48. def getConfigProtoBytes: Option[Array[Byte]]

    Definition Classes
    MedicalBertForTokenClassifier
  49. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  50. def getEngine: String
    Definition Classes
    HasEngine
  51. def getInputCols: Array[String]
    Definition Classes
    HasInputAnnotationCols
  52. def getLabels: Map[String, Int]

    Returns the Labels parameter

    Returns the Labels parameter

    Definition Classes
    MedicalBertForTokenClassifier
  53. def getLazyAnnotator: Boolean
    Definition Classes
    CanBeLazy
  54. def getMaxSentenceLength: Int

    Returns the maxSentenceLength parameter

    Returns the maxSentenceLength parameter

    Definition Classes
    MedicalBertForTokenClassifier
  55. def getModelIfNotSet: MedicalBertClassification

    Definition Classes
    MedicalBertForTokenClassifier
  56. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  57. final def getOutputCol: String
    Definition Classes
    HasOutputAnnotationCol
  58. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  59. def getSignatures: Option[Map[String, String]]

    Returns the signatures parameter

    Returns the signatures parameter

    Definition Classes
    MedicalBertForTokenClassifier
  60. def getVocabulary: Map[String, Int]
    Definition Classes
    MedicalBertForTokenClassifier
  61. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  62. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  63. def hasParent: Boolean
    Definition Classes
    Model
  64. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  65. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  66. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. val inputAnnotatorTypes: Array[String]

    Input Annotator Types: DOCUMENT, TOKEN

    Input Annotator Types: DOCUMENT, TOKEN

    Definition Classes
    MedicalBertForTokenClassifier → HasInputAnnotationCols
  68. final val inputCols: StringArrayParam
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  69. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  70. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  71. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  72. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  73. val labels: MapFeature[String, Int]

    Labels used to decode predicted IDs back to string tags

    Labels used to decode predicted IDs back to string tags

    Definition Classes
    MedicalBertForTokenClassifier
  74. val lazyAnnotator: BooleanParam
    Definition Classes
    CanBeLazy
  75. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  76. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  79. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  80. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  81. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  82. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  83. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  84. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  85. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  86. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  87. val maxSentenceLength: IntParam

    Max sentence length to process (Default: 128)

    Max sentence length to process (Default: 128)

    Definition Classes
    MedicalBertForTokenClassifier
  88. def msgHelper(schema: StructType): String
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  89. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  90. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  91. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  92. def onWrite(path: String, spark: SparkSession): Unit
    Definition Classes
    MedicalBertForTokenClassifier → ParamsAndFeaturesWritable
  93. val optionalInputAnnotatorTypes: Array[String]
    Definition Classes
    HasInputAnnotationCols
  94. val outputAnnotatorType: AnnotatorType

    Output Annotator Types: WORD_EMBEDDINGS

    Output Annotator Types: WORD_EMBEDDINGS

    Definition Classes
    MedicalBertForTokenClassifier → HasOutputAnnotatorType
  95. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  96. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  97. var parent: Estimator[MedicalBertForTokenClassifier]
    Definition Classes
    Model
  98. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  99. def sentenceEndTokenId: Int

    Returns the end of sentence token ("[SEP]") associated id.

    Returns the end of sentence token ("[SEP]") associated id.

    Definition Classes
    MedicalBertForTokenClassifier
  100. def sentenceStartTokenId: Int

    Returns the start of sentence token ("[CLS]") associated id.

    Returns the start of sentence token ("[CLS]") associated id.

    Definition Classes
    MedicalBertForTokenClassifier
  101. def set[T](feature: StructFeature[T], value: T): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  102. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  103. def set[T](feature: SetFeature[T], value: Set[T]): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  104. def set[T](feature: ArrayFeature[T], value: Array[T]): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  105. final def set(paramPair: ParamPair[_]): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    Params
  106. final def set(param: String, value: Any): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    Params
  107. final def set[T](param: Param[T], value: T): LegalBertForTokenClassification.this.type
    Definition Classes
    Params
  108. def setBatchSize(size: Int): LegalBertForTokenClassification.this.type
    Definition Classes
    HasBatchedAnnotate
  109. def setCaseSensitive(value: Boolean): LegalBertForTokenClassification.this.type
    Definition Classes
    HasCaseSensitiveProperties
  110. def setConfigProtoBytes(bytes: Array[Int]): LegalBertForTokenClassification.this.type

    Sets the configProtoBytes parameter

    Sets the configProtoBytes parameter

    Definition Classes
    MedicalBertForTokenClassifier
  111. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  112. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  113. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  114. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  115. final def setDefault(paramPairs: ParamPair[_]*): LegalBertForTokenClassification.this.type
    Attributes
    protected
    Definition Classes
    Params
  116. final def setDefault[T](param: Param[T], value: T): LegalBertForTokenClassification.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  117. final def setInputCols(value: String*): LegalBertForTokenClassification.this.type
    Definition Classes
    HasInputAnnotationCols
  118. def setInputCols(value: Array[String]): LegalBertForTokenClassification.this.type
    Definition Classes
    HasInputAnnotationCols
  119. def setLabels(value: Map[String, Int]): LegalBertForTokenClassification.this.type

    Sets the labels parameter

    Sets the labels parameter

    Definition Classes
    MedicalBertForTokenClassifier
  120. def setLazyAnnotator(value: Boolean): LegalBertForTokenClassification.this.type
    Definition Classes
    CanBeLazy
  121. def setMaxSentenceLength(value: Int): LegalBertForTokenClassification.this.type

    Sets the maxSentenceLength parameter

    Sets the maxSentenceLength parameter

    Definition Classes
    MedicalBertForTokenClassifier
  122. def setModelIfNotSet(spark: SparkSession, onnxWrapper: InternalOnnxWrapper): LegalBertForTokenClassification.this.type

    Sets the model if it is not set yet

    Sets the model if it is not set yet

    Definition Classes
    MedicalBertForTokenClassifier
  123. def setModelIfNotSet(spark: SparkSession, tensorflowWrapper: TensorflowWrapper): LegalBertForTokenClassification.this.type

    Sets the model if it is not set yet

    Sets the model if it is not set yet

    Definition Classes
    MedicalBertForTokenClassifier
  124. final def setOutputCol(value: String): LegalBertForTokenClassification.this.type
    Definition Classes
    HasOutputAnnotationCol
  125. def setParent(parent: Estimator[MedicalBertForTokenClassifier]): MedicalBertForTokenClassifier
    Definition Classes
    Model
  126. def setSignatures(value: Map[String, String]): LegalBertForTokenClassification.this.type

    Sets the signatures parameter

    Sets the signatures parameter

    Definition Classes
    MedicalBertForTokenClassifier
  127. def setVocabulary(value: Map[String, Int]): LegalBertForTokenClassification.this.type

    Sets the vocabulary parameter

    Sets the vocabulary parameter

    Definition Classes
    MedicalBertForTokenClassifier
  128. val signatures: MapFeature[String, String]

    It contains TF model signatures for the laded saved model

    It contains TF model signatures for the laded saved model

    Definition Classes
    MedicalBertForTokenClassifier
  129. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  130. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  131. final def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    AnnotatorModel → Transformer
  132. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  133. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  134. final def transformSchema(schema: StructType): StructType
    Definition Classes
    RawAnnotator → PipelineStage
  135. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  136. val uid: String
    Definition Classes
    LegalBertForTokenClassification → MedicalBertForTokenClassifier → Identifiable
  137. def validate(schema: StructType): Boolean
    Attributes
    protected
    Definition Classes
    RawAnnotator
  138. val vocabulary: MapFeature[String, Int]

    Vocabulary used to encode the words to ids with WordPieceEncoder

    Vocabulary used to encode the words to ids with WordPieceEncoder

    Definition Classes
    MedicalBertForTokenClassifier
  139. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  140. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  141. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  142. def wrapColumnMetadata(col: Column): Column
    Attributes
    protected
    Definition Classes
    RawAnnotator
  143. def write: MLWriter
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable
  144. def writeOnnxModel(path: String, spark: SparkSession, onnxWrapper: InternalOnnxWrapper, suffix: String, fileName: String, encrypt: Boolean): Unit
    Definition Classes
    InternalWriteOnnxModel
  145. def writeOnnxModel(path: String, spark: SparkSession, onnxWrapper: InternalOnnxWrapper, suffix: String, fileName: String): Unit
    Definition Classes
    InternalWriteOnnxModel
  146. def writeOnnxModels(path: String, spark: SparkSession, onnxWrappersWithNames: Seq[(InternalOnnxWrapper, String)], suffix: String, encrypt: Boolean = false): Unit
    Definition Classes
    InternalWriteOnnxModel
  147. def writeOnnxModels(path: String, spark: SparkSession, onnxWrappersWithNames: Seq[(InternalOnnxWrapper, String)], suffix: String): Unit
    Definition Classes
    InternalWriteOnnxModel
  148. def writeTensorflowHub(path: String, tfPath: String, spark: SparkSession, suffix: String): Unit
    Definition Classes
    WriteTensorflowModel
  149. def writeTensorflowModel(path: String, spark: SparkSession, tensorflow: TensorflowWrapper, suffix: String, filename: String, configProtoBytes: Option[Array[Byte]]): Unit
    Definition Classes
    WriteTensorflowModel
  150. def writeTensorflowModelV2(path: String, spark: SparkSession, tensorflow: TensorflowWrapper, suffix: String, filename: String, configProtoBytes: Option[Array[Byte]], savedSignatures: Option[Map[String, String]]): Unit
    Definition Classes
    WriteTensorflowModel

Inherited from MedicalBertForTokenClassifier

Inherited from CheckLicense

Inherited from HasEngine

Inherited from HasCaseSensitiveProperties

Inherited from InternalWriteOnnxModel

Inherited from WriteTensorflowModel

Inherited from HasBatchedAnnotate[MedicalBertForTokenClassifier]

Inherited from AnnotatorModel[MedicalBertForTokenClassifier]

Inherited from CanBeLazy

Inherited from RawAnnotator[MedicalBertForTokenClassifier]

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasOutputAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[MedicalBertForTokenClassifier]

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

anno

getParam

param

setParam

Ungrouped