class GenericREModel extends RelationExtractionModel with HasStorageRef with ParamsAndFeaturesWritable with CheckLicense

Instantiated RelationExtractionModel for extracting relationships between any entitites. This class is not intended to be directly used, please use the RelationExtractionModel instead. Pairs of entitie should be specified using setRelationPairs Please see the Models Hub for available models.

See also

RelationExtractionModel to use the model

Linear Supertypes
RelationExtractionModel, GenericClassifierModel, CheckLicense, HasSafeAnnotate[GenericClassifierModel], HandleExceptionParams, HasSimpleAnnotate[GenericClassifierModel], WriteTensorflowModel, HasStorageRef, AnnotatorModel[GenericClassifierModel], CanBeLazy, RawAnnotator[GenericClassifierModel], HasOutputAnnotationCol, HasInputAnnotationCols, HasOutputAnnotatorType, ParamsAndFeaturesWritable, HasFeatures, DefaultParamsWritable, MLWritable, Model[GenericClassifierModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
PosologyREModel
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Inherited
  1. GenericREModel
  2. RelationExtractionModel
  3. GenericClassifierModel
  4. CheckLicense
  5. HasSafeAnnotate
  6. HandleExceptionParams
  7. HasSimpleAnnotate
  8. WriteTensorflowModel
  9. HasStorageRef
  10. AnnotatorModel
  11. CanBeLazy
  12. RawAnnotator
  13. HasOutputAnnotationCol
  14. HasInputAnnotationCols
  15. HasOutputAnnotatorType
  16. ParamsAndFeaturesWritable
  17. HasFeatures
  18. DefaultParamsWritable
  19. MLWritable
  20. Model
  21. Transformer
  22. PipelineStage
  23. Logging
  24. Params
  25. Serializable
  26. Serializable
  27. Identifiable
  28. AnyRef
  29. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new GenericREModel()
  2. new GenericREModel(uid: String)

    uid

    a unique identifier for the instantiated AnnotatorModel

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. def annotate(annotations: Seq[Annotation]): 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

    annotations

    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
    RelationExtractionModel → GenericClassifierModel → HasSimpleAnnotate
  12. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  13. def beforeAnnotate(dataset: Dataset[_]): Dataset[_]
    Attributes
    protected
    Definition Classes
    GenericClassifierModel → AnnotatorModel
  14. def categorizeRel(relation: RelationInstance): (Long, Float, Array[Float])
    Definition Classes
    GenericREModel → RelationExtractionModel
  15. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  16. def checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String]): Unit
    Definition Classes
    CheckLicense
  17. def checkValidScope(scope: String): Unit
    Definition Classes
    CheckLicense
  18. def checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean): Unit
    Definition Classes
    CheckLicense
  19. def checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean): Unit
    Definition Classes
    CheckLicense
  20. val classes: StringArrayParam
    Definition Classes
    GenericClassifierModel
  21. final def clear(param: Param[_]): GenericREModel.this.type
    Definition Classes
    Params
  22. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  23. def copy(extra: ParamMap): GenericClassifierModel
    Definition Classes
    RawAnnotator → Model → Transformer → PipelineStage → Params
  24. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  25. def createDatabaseConnection(database: Name): RocksDBConnection
    Definition Classes
    HasStorageRef
  26. var customLabels: MapFeature[String, String]

    Custom relation labels

    Custom relation labels

    Definition Classes
    RelationExtractionModel
  27. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  28. def dfAnnotate: UserDefinedFunction
    Definition Classes
    HasSimpleAnnotate
  29. val directionSensitive: BooleanParam

    If it is true, only relations in the form of "ENTITY1-ENTITY2" will be considered, If it is false, both "ENTITY1-ENTITY2" and "ENTITY2-ENTITY1" relations will be considered,

    If it is true, only relations in the form of "ENTITY1-ENTITY2" will be considered, If it is false, both "ENTITY1-ENTITY2" and "ENTITY2-ENTITY1" relations will be considered,

    Definition Classes
    RelationExtractionModel
  30. val doExceptionHandling: BooleanParam

    If true, exceptions are handled.

    If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.

    Definition Classes
    HandleExceptionParams
  31. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  32. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  33. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  34. def explainParams(): String
    Definition Classes
    Params
  35. def extraValidate(structType: StructType): Boolean
    Attributes
    protected
    Definition Classes
    RawAnnotator
  36. def extraValidateMsg: String
    Attributes
    protected
    Definition Classes
    RawAnnotator
  37. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  38. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  39. val featureScaling: Param[String]

    Feature scaling method.

    Feature scaling method. Possible values are 'zscore', 'minmax' or empty (no scaling)

    Definition Classes
    GenericClassifierModel
  40. val features: ArrayBuffer[Feature[_, _, _]]
    Definition Classes
    HasFeatures
  41. val filterByTokenDistance: IntParam

    filtering criterion based on number of token between entities.

    filtering criterion based on number of token between entities. Model only finds relations that have fewer than the specified number of tokens between them.

    Definition Classes
    RelationExtractionModel
  42. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  43. def get[T](feature: StructFeature[T]): Option[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  44. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  45. def get[T](feature: SetFeature[T]): Option[Set[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  46. def get[T](feature: ArrayFeature[T]): Option[Array[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  47. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  48. def getCategories(): Array[String]
    Definition Classes
    GenericClassifierModel
  49. def getCategoryName(id: Int): String
    Definition Classes
    GenericREModel → GenericClassifierModel
  50. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  51. def getClasses: Array[String]

    Proxy to getCategories

    Proxy to getCategories

    Definition Classes
    RelationExtractionModel
  52. def getCustomLabel(label: String): String
    Definition Classes
    RelationExtractionModel
  53. def getCustomLabels: Map[String, String]

    Custom relation labels

    Custom relation labels

    Definition Classes
    RelationExtractionModel
  54. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  55. def getDirectionSensitive: Boolean

    Gets the directionSensitive

    Gets the directionSensitive

    Definition Classes
    RelationExtractionModel
  56. def getEncoder: GenericClassifierDataEncoder
    Definition Classes
    GenericClassifierModel
  57. def getFeatureScaling: String

    Get feature scaling method

    Get feature scaling method

    Definition Classes
    GenericClassifierModel
  58. def getInputCols: Array[String]
    Definition Classes
    HasInputAnnotationCols
  59. def getLazyAnnotator: Boolean
    Definition Classes
    CanBeLazy
  60. def getMaxSyntacticDistance: Int

    Maximal syntactic distance, as threshold (Default: 0)

    Maximal syntactic distance, as threshold (Default: 0)

    Definition Classes
    RelationExtractionModel
  61. def getMultiClass: Boolean

    Gets the model multi class prediction mode

    Gets the model multi class prediction mode

    Definition Classes
    GenericClassifierModel
  62. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  63. final def getOutputCol: String
    Definition Classes
    HasOutputAnnotationCol
  64. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  65. def getPredictionThreshold: Float

    Minimal activation of the target unit to encode a new relation instance (Default: 0.5f)

    Minimal activation of the target unit to encode a new relation instance (Default: 0.5f)

    Definition Classes
    RelationExtractionModel
  66. def getRelationPairs: Array[String]

    List of dash-separated pairs of named entities ("ENTITY1-ENTITY2", e.g.

    List of dash-separated pairs of named entities ("ENTITY1-ENTITY2", e.g. "Biomarker-RelativeDay"), which will be processed

    Definition Classes
    RelationExtractionModel
  67. def getRelationPairsCaseSensitive: Boolean

    Gets the case sensitivity of relation pairs

    Gets the case sensitivity of relation pairs

    Definition Classes
    RelationExtractionModel
  68. def getRelationTypePerPair: Map[String, Array[String]]

    Get the lists of entity pairs allowed for a given relation

    Get the lists of entity pairs allowed for a given relation

    Definition Classes
    RelationExtractionModel
  69. def getRelationTypePerPairStr: String

    Get a string representation of the lists of entity pairs allowed for a given relation

    Get a string representation of the lists of entity pairs allowed for a given relation

    Definition Classes
    RelationExtractionModel
  70. def getStorageRef: String
    Definition Classes
    HasStorageRef
  71. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  72. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  73. def hasParent: Boolean
    Definition Classes
    Model
  74. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  75. val inExceptionMode: Boolean
    Attributes
    protected
    Definition Classes
    HasSafeAnnotate
  76. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  77. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  78. val inputAnnotatorTypes: Array[AnnotatorType]

    Input annotator types : WORD_EMBEDDINGS, POS, CHUNK, DEPENDENCY

    Input annotator types : WORD_EMBEDDINGS, POS, CHUNK, DEPENDENCY

    Definition Classes
    RelationExtractionModel → GenericClassifierModel → HasInputAnnotationCols
  79. final val inputCols: StringArrayParam
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  80. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  81. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  82. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  83. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  84. val lazyAnnotator: BooleanParam
    Definition Classes
    CanBeLazy
  85. def loadModel(sparkSession: SparkSession, tfModel: TensorflowWrapper, categories: Array[String], encoder: GenericClassifierDataEncoder, nerTags: Array[String]): GenericREModel.this.type
    Definition Classes
    RelationExtractionModel
  86. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  87. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  88. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  89. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  90. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  91. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  92. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  93. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  94. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  95. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  96. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  97. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  98. var maxSyntacticDistance: IntParam

    Maximal syntactic distance, as threshold (Default: 0)

    Maximal syntactic distance, as threshold (Default: 0)

    Definition Classes
    RelationExtractionModel
  99. def model: TensorflowGenericClassifier
    Definition Classes
    GenericREModel → GenericClassifierModel
  100. def msgHelper(schema: StructType): String
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  101. var multiClass: BooleanParam

    If multiClass is set, the model will return all the labels with corresponding scores.

    If multiClass is set, the model will return all the labels with corresponding scores. By default, multiClass is false.

    Definition Classes
    GenericClassifierModel
  102. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  103. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  104. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  105. def onWrite(path: String, spark: SparkSession): Unit
    Definition Classes
    GenericClassifierModel → ParamsAndFeaturesWritable
  106. val optionalInputAnnotatorTypes: Array[String]
    Definition Classes
    HasInputAnnotationCols
  107. val outputAnnotatorType: String

    Output annotator types : CATEGORY

    Output annotator types : CATEGORY

    Definition Classes
    RelationExtractionModel → GenericClassifierModel → HasOutputAnnotatorType
  108. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  109. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  110. var parent: Estimator[GenericClassifierModel]
    Definition Classes
    Model
  111. var predictionThreshold: FloatParam

    Minimal activation of the target unit to encode a new relation instance (Default: 0.5f)

    Minimal activation of the target unit to encode a new relation instance (Default: 0.5f)

    Definition Classes
    RelationExtractionModel
  112. var relationPairs: Param[String]

    List of dash-separated pairs of named entities ("ENTITY1-ENTITY2", e.g.

    List of dash-separated pairs of named entities ("ENTITY1-ENTITY2", e.g. "Biomarker-RelativeDay"), which will be processed

    Definition Classes
    RelationExtractionModel
  113. var relationPairsCaseSensitive: BooleanParam

    Determines whether relation pairs are case sensitive

    Determines whether relation pairs are case sensitive

    Definition Classes
    RelationExtractionModel
  114. def safeAnnotate(annotations: Seq[Annotation]): Seq[Annotation]

    A protected method designed to safely annotate a sequence of Annotation objects by handling exceptions.

    A protected method designed to safely annotate a sequence of Annotation objects by handling exceptions.

    annotations

    A sequence of Annotation.

    returns

    A sequence of Annotation objects after processing, potentially containing error annotations.

    Attributes
    protected
    Definition Classes
    HasSafeAnnotate
  115. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  116. def scaleFeatures(features: Array[Array[Float]]): Array[Array[Float]]
    Attributes
    protected
    Definition Classes
    GenericClassifierModel
  117. def set[T](feature: StructFeature[T], value: T): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  118. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  119. def set[T](feature: SetFeature[T], value: Set[T]): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  120. def set[T](feature: ArrayFeature[T], value: Array[T]): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  121. final def set(paramPair: ParamPair[_]): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  122. final def set(param: String, value: Any): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  123. final def set[T](param: Param[T], value: T): GenericREModel.this.type
    Definition Classes
    Params
  124. def setCategoryNames(categoryNames: Array[String]): GenericREModel.this.type
    Definition Classes
    GenericClassifierModel
  125. def setCustomLabels(labels: HashMap[String, String]): GenericREModel.this.type

    Definition Classes
    RelationExtractionModel
  126. def setCustomLabels(labels: Map[String, String]): GenericREModel.this.type

    Set custom relation labels

    Set custom relation labels

    Definition Classes
    RelationExtractionModel
  127. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  128. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  129. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  130. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  131. final def setDefault(paramPairs: ParamPair[_]*): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  132. final def setDefault[T](param: Param[T], value: T): GenericREModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  133. def setDirectionSensitive(value: Boolean): GenericREModel.this.type

    If it is true, only relations in the form of "ENTITY1-ENTITY2" will be considered, If it is false, both "ENTITY1-ENTITY2" and "ENTITY2-ENTITY1" relations will be considered,

    If it is true, only relations in the form of "ENTITY1-ENTITY2" will be considered, If it is false, both "ENTITY1-ENTITY2" and "ENTITY2-ENTITY1" relations will be considered,

    Definition Classes
    RelationExtractionModel
  134. def setDoExceptionHandling(value: Boolean): GenericREModel.this.type

    If true, exceptions are handled.

    If true, exceptions are handled. If exception causing data is passed to the model, a error annotation is emitted which has the exception message. Processing continues with the next one. This comes with a performance penalty.

    Definition Classes
    HandleExceptionParams
  135. def setEncoder(encoder: GenericClassifierDataEncoder): GenericREModel.this.type
    Definition Classes
    GenericClassifierModel
  136. def setFeatureScaling(featureScaling: String): GenericREModel.this.type

    Set the feature scaling method.

    Set the feature scaling method. Possible values are 'zscore', 'minmax' or empty (no scaling)

    Definition Classes
    GenericClassifierModel
  137. def setFilterByTokenDistance(value: Int): GenericREModel.this.type

    filtering criterion based on number of token between entities.

    filtering criterion based on number of token between entities. Model only finds relations that have fewer than the specified number of tokens between them

    Definition Classes
    RelationExtractionModel
  138. final def setInputCols(value: String*): GenericREModel.this.type
    Definition Classes
    HasInputAnnotationCols
  139. def setInputCols(value: Array[String]): GenericREModel.this.type
    Definition Classes
    HasInputAnnotationCols
  140. def setLazyAnnotator(value: Boolean): GenericREModel.this.type
    Definition Classes
    CanBeLazy
  141. def setMaxSyntacticDistance(maxSyntacticDistance: Int): GenericREModel.this.type

    Maximal syntactic distance, as threshold (Default: 0)

    Maximal syntactic distance, as threshold (Default: 0)

    Definition Classes
    RelationExtractionModel
  142. def setMultiClass(value: Boolean): GenericREModel.this.type

    Sets the model in multi class prediction mode

    Sets the model in multi class prediction mode

    Definition Classes
    GenericClassifierModel
  143. final def setOutputCol(value: String): GenericREModel.this.type
    Definition Classes
    HasOutputAnnotationCol
  144. def setParent(parent: Estimator[GenericClassifierModel]): GenericClassifierModel
    Definition Classes
    Model
  145. def setPredictionThreshold(predictionThreshold: Float): GenericREModel.this.type

    Minimal activation of the target unit to encode a new relation instance (Default: 0.5f)

    Minimal activation of the target unit to encode a new relation instance (Default: 0.5f)

    Definition Classes
    RelationExtractionModel
  146. def setRelationPairs(relationPairs: Array[String]): GenericREModel.this.type

    List of dash-separated pairs of named entities ("ENTITY1-ENTITY2", e.g.

    List of dash-separated pairs of named entities ("ENTITY1-ENTITY2", e.g. "Biomarker-RelativeDay"), which will be processed

    Definition Classes
    RelationExtractionModel
  147. def setRelationPairsCaseSensitive(value: Boolean): GenericREModel.this.type

    Sets the case sensitivity of relation pairs

    Sets the case sensitivity of relation pairs

    Definition Classes
    RelationExtractionModel
  148. def setRelationTypePerPair(categories: HashMap[String, List[String]]): GenericREModel.this.type

    Set the lists of entity pairs allowed for a given relation

    Set the lists of entity pairs allowed for a given relation

    Definition Classes
    RelationExtractionModel
  149. def setRelationTypePerPair(categories: Map[String, Array[String]]): GenericREModel.this.type

    Set the lists of entity pairs allowed for a given relation

    Set the lists of entity pairs allowed for a given relation

    Definition Classes
    RelationExtractionModel
  150. def setStorageRef(value: String): GenericREModel.this.type
    Definition Classes
    HasStorageRef
  151. def setTensorflowModel(spark: SparkSession, tf: TensorflowWrapper): GenericREModel.this.type
    Definition Classes
    GenericClassifierModel
  152. val storageRef: Param[String]
    Definition Classes
    HasStorageRef
  153. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  154. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  155. final def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    AnnotatorModel → Transformer
  156. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  157. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  158. final def transformSchema(schema: StructType): StructType
    Definition Classes
    RawAnnotator → PipelineStage
  159. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  160. val uid: String
    Definition Classes
    GenericREModel → RelationExtractionModel → GenericClassifierModel → Identifiable
  161. def validate(schema: StructType): Boolean
    Attributes
    protected
    Definition Classes
    RawAnnotator
  162. def validateStorageRef(dataset: Dataset[_], inputCols: Array[String], annotatorType: String): Unit
    Definition Classes
    HasStorageRef
  163. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  164. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  165. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  166. def wrapColumnMetadata(col: Column): Column
    Attributes
    protected
    Definition Classes
    RawAnnotator
  167. def write: MLWriter
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable
  168. def writeTensorflowHub(path: String, tfPath: String, spark: SparkSession, suffix: String): Unit
    Definition Classes
    WriteTensorflowModel
  169. def writeTensorflowModel(path: String, spark: SparkSession, tensorflow: TensorflowWrapper, suffix: String, filename: String, configProtoBytes: Option[Array[Byte]]): Unit
    Definition Classes
    GenericREModel → WriteTensorflowModel
  170. 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 RelationExtractionModel

Inherited from GenericClassifierModel

Inherited from CheckLicense

Inherited from HasSafeAnnotate[GenericClassifierModel]

Inherited from HandleExceptionParams

Inherited from HasSimpleAnnotate[GenericClassifierModel]

Inherited from WriteTensorflowModel

Inherited from HasStorageRef

Inherited from AnnotatorModel[GenericClassifierModel]

Inherited from CanBeLazy

Inherited from RawAnnotator[GenericClassifierModel]

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasOutputAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[GenericClassifierModel]

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

Parameters

Annotator types

Required input and expected output annotator types

Members

Parameter setters

Parameter getters