Class/Object

com.johnsnowlabs.nlp.embeddings

BertEmbeddings

Related Docs: object BertEmbeddings | package embeddings

Permalink

class BertEmbeddings extends AnnotatorModel[BertEmbeddings] with WriteTensorflowModel with HasEmbeddingsProperties with HasStorageRef with HasCaseSensitiveProperties

Linear Supertypes
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. BertEmbeddings
  2. HasCaseSensitiveProperties
  3. HasStorageRef
  4. HasEmbeddingsProperties
  5. WriteTensorflowModel
  6. AnnotatorModel
  7. CanBeLazy
  8. RawAnnotator
  9. HasOutputAnnotationCol
  10. HasInputAnnotationCols
  11. HasOutputAnnotatorType
  12. ParamsAndFeaturesWritable
  13. HasFeatures
  14. DefaultParamsWritable
  15. MLWritable
  16. Model
  17. Transformer
  18. PipelineStage
  19. Logging
  20. Params
  21. Serializable
  22. Serializable
  23. Identifiable
  24. AnyRef
  25. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new BertEmbeddings()

    Permalink
  2. new BertEmbeddings(uid: String)

    Permalink

Type Members

  1. type AnnotationContent = Seq[Row]

    Permalink

    internal types to show Rows as a relevant StructType Should be deleted once Spark releases UserDefinedTypes to @developerAPI

    internal types to show Rows as a relevant StructType Should be deleted once Spark releases UserDefinedTypes to @developerAPI

    Attributes
    protected
    Definition Classes
    AnnotatorModel
  2. type AnnotatorType = String

    Permalink
    Definition Classes
    HasOutputAnnotatorType

Value Members

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  4. def $$[T](feature: StructFeature[T]): T

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: SetFeature[T]): Set[T]

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  7. def $$[T](feature: ArrayFeature[T]): Array[T]

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  8. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  9. def _transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame

    Permalink
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  10. def afterAnnotate(dataset: DataFrame): DataFrame

    Permalink
    Attributes
    protected
    Definition Classes
    BertEmbeddingsAnnotatorModel
  11. def annotate(annotations: Seq[Annotation]): Seq[Annotation]

    Permalink

    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
    BertEmbeddingsAnnotatorModel
  12. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  13. val batchSize: IntParam

    Permalink
  14. def beforeAnnotate(dataset: Dataset[_]): Dataset[_]

    Permalink
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  15. val caseSensitive: BooleanParam

    Permalink
    Definition Classes
    HasCaseSensitiveProperties
  16. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

    Permalink
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  17. final def clear(param: Param[_]): BertEmbeddings.this.type

    Permalink
    Definition Classes
    Params
  18. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. val configProtoBytes: IntArrayParam

    Permalink
  20. def copy(extra: ParamMap): BertEmbeddings

    Permalink

    requirement for annotators copies

    requirement for annotators copies

    Definition Classes
    RawAnnotator → Model → Transformer → PipelineStage → Params
  21. def copyValues[T <: Params](to: T, extra: ParamMap): T

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  22. def createDatabaseConnection(database: Name): RocksDBConnection

    Permalink
    Definition Classes
    HasStorageRef
  23. final def defaultCopy[T <: Params](extra: ParamMap): T

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  24. def dfAnnotate: UserDefinedFunction

    Permalink

    Wraps annotate to happen inside SparkSQL user defined functions in order to act with org.apache.spark.sql.Column

    Wraps annotate to happen inside SparkSQL user defined functions in order to act with org.apache.spark.sql.Column

    returns

    udf function to be applied to inputCols using this annotator's annotate function as part of ML transformation

    Attributes
    protected
    Definition Classes
    AnnotatorModel
  25. val dimension: IntParam

    Permalink
    Definition Classes
    HasEmbeddingsProperties
  26. final def eq(arg0: AnyRef): Boolean

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

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

    Permalink
    Definition Classes
    Params
  29. def explainParams(): String

    Permalink
    Definition Classes
    Params
  30. def extraValidate(structType: StructType): Boolean

    Permalink
    Attributes
    protected
    Definition Classes
    RawAnnotator
  31. def extraValidateMsg: String

    Permalink

    Override for additional custom schema checks

    Override for additional custom schema checks

    Attributes
    protected
    Definition Classes
    RawAnnotator
  32. final def extractParamMap(): ParamMap

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

    Permalink
    Definition Classes
    Params
  34. val features: ArrayBuffer[Feature[_, _, _]]

    Permalink
    Definition Classes
    HasFeatures
  35. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  36. def get[T](feature: StructFeature[T]): Option[T]

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  37. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  38. def get[T](feature: SetFeature[T]): Option[Set[T]]

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  39. def get[T](feature: ArrayFeature[T]): Option[Array[T]]

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  40. final def get[T](param: Param[T]): Option[T]

    Permalink
    Definition Classes
    Params
  41. def getCaseSensitive: Boolean

    Permalink
    Definition Classes
    HasCaseSensitiveProperties
  42. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  43. def getConfigProtoBytes: Option[Array[Byte]]

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

    Permalink
    Definition Classes
    Params
  45. def getDimension: Int

    Permalink
    Definition Classes
    HasEmbeddingsProperties
  46. def getInputCols: Array[String]

    Permalink

    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  47. def getLazyAnnotator: Boolean

    Permalink
    Definition Classes
    CanBeLazy
  48. def getMaxSentenceLength: Int

    Permalink
  49. def getModelIfNotSet: TensorflowBert

    Permalink
  50. final def getOrDefault[T](param: Param[T]): T

    Permalink
    Definition Classes
    Params
  51. final def getOutputCol: String

    Permalink

    Gets annotation column name going to generate

    Gets annotation column name going to generate

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

    Permalink
    Definition Classes
    Params
  53. def getPoolingLayer: Int

    Permalink
  54. def getStorageRef: String

    Permalink
    Definition Classes
    HasStorageRef
  55. final def hasDefault[T](param: Param[T]): Boolean

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

    Permalink
    Definition Classes
    Params
  57. def hasParent: Boolean

    Permalink
    Definition Classes
    Model
  58. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  59. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  60. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  61. val inputAnnotatorTypes: Array[String]

    Permalink

    Annotator reference id.

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

    Definition Classes
    BertEmbeddingsHasInputAnnotationCols
  62. final val inputCols: StringArrayParam

    Permalink

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

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

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

    Permalink
    Definition Classes
    Params
  66. def isTraceEnabled(): Boolean

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  67. val lazyAnnotator: BooleanParam

    Permalink
    Definition Classes
    CanBeLazy
  68. def log: Logger

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

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

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

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  75. def logName: String

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

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  80. val maxSentenceLength: IntParam

    Permalink
  81. def msgHelper(schema: StructType): String

    Permalink
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  82. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  83. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  84. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  85. def onWrite(path: String, spark: SparkSession): Unit

    Permalink
  86. val outputAnnotatorType: AnnotatorType

    Permalink
    Definition Classes
    BertEmbeddingsHasOutputAnnotatorType
  87. final val outputCol: Param[String]

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

    Permalink
    Definition Classes
    Params
  89. var parent: Estimator[BertEmbeddings]

    Permalink
    Definition Classes
    Model
  90. val poolingLayer: IntParam

    Permalink
  91. def save(path: String): Unit

    Permalink
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  92. def sentenceEndTokenId: Int

    Permalink
  93. def sentenceStartTokenId: Int

    Permalink
  94. def set[T](feature: StructFeature[T], value: T): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  95. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  96. def set[T](feature: SetFeature[T], value: Set[T]): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  97. def set[T](feature: ArrayFeature[T], value: Array[T]): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  98. final def set(paramPair: ParamPair[_]): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  99. final def set(param: String, value: Any): BertEmbeddings.this.type

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

    Permalink
    Definition Classes
    Params
  101. def setBatchSize(size: Int): BertEmbeddings.this.type

    Permalink
  102. def setCaseSensitive(value: Boolean): BertEmbeddings.this.type

    Permalink
  103. def setConfigProtoBytes(bytes: Array[Int]): BertEmbeddings.this.type

    Permalink
  104. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  105. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  106. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  107. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): BertEmbeddings.this.type

    Permalink
    Attributes
    protected
    Definition Classes
    HasFeatures
  108. final def setDefault(paramPairs: ParamPair[_]*): BertEmbeddings.this.type

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  110. def setDimension(value: Int): BertEmbeddings.this.type

    Permalink
  111. final def setInputCols(value: String*): BertEmbeddings.this.type

    Permalink
    Definition Classes
    HasInputAnnotationCols
  112. final def setInputCols(value: Array[String]): BertEmbeddings.this.type

    Permalink

    Overrides required annotators column if different than default

    Overrides required annotators column if different than default

    Definition Classes
    HasInputAnnotationCols
  113. def setLazyAnnotator(value: Boolean): BertEmbeddings.this.type

    Permalink
    Definition Classes
    CanBeLazy
  114. def setMaxSentenceLength(value: Int): BertEmbeddings.this.type

    Permalink
  115. def setModelIfNotSet(spark: SparkSession, tensorflow: TensorflowWrapper): BertEmbeddings.this.type

    Permalink
  116. final def setOutputCol(value: String): BertEmbeddings.this.type

    Permalink

    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  117. def setParent(parent: Estimator[BertEmbeddings]): BertEmbeddings

    Permalink
    Definition Classes
    Model
  118. def setPoolingLayer(layer: Int): BertEmbeddings.this.type

    Permalink
  119. def setStorageRef(value: String): BertEmbeddings.this.type

    Permalink
    Definition Classes
    HasStorageRef
  120. def setVocabulary(value: Map[String, Int]): BertEmbeddings.this.type

    Permalink
  121. val storageRef: Param[String]

    Permalink
    Definition Classes
    HasStorageRef
  122. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  123. def toString(): String

    Permalink
    Definition Classes
    Identifiable → AnyRef → Any
  124. def tokenize(sentences: Seq[Sentence]): Seq[WordpieceTokenizedSentence]

    Permalink
  125. final def transform(dataset: Dataset[_]): DataFrame

    Permalink

    Given requirements are met, this applies ML transformation within a Pipeline or stand-alone Output annotation will be generated as a new column, previous annotations are still available separately metadata is built at schema level to record annotations structural information outside its content

    Given requirements are met, this applies ML transformation within a Pipeline or stand-alone Output annotation will be generated as a new column, previous annotations are still available separately metadata is built at schema level to record annotations structural information outside its content

    dataset

    Dataset[Row]

    Definition Classes
    AnnotatorModel → Transformer
  126. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

    Permalink
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  127. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

    Permalink
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  128. final def transformSchema(schema: StructType): StructType

    Permalink

    requirement for pipeline transformation validation.

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

    Definition Classes
    RawAnnotator → PipelineStage
  129. def transformSchema(schema: StructType, logging: Boolean): StructType

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

    Permalink
    Definition Classes
    BertEmbeddings → Identifiable
  131. def validate(schema: StructType): Boolean

    Permalink

    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
    RawAnnotator
  132. def validateStorageRef(dataset: Dataset[_], inputCols: Array[String], annotatorType: String): Unit

    Permalink
    Definition Classes
    HasStorageRef
  133. val vocabulary: MapFeature[String, Int]

    Permalink
  134. final def wait(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  137. def wrapColumnMetadata(col: Column): Column

    Permalink
    Attributes
    protected
    Definition Classes
    RawAnnotator
  138. def wrapEmbeddingsMetadata(col: Column, embeddingsDim: Int, embeddingsRef: Option[String] = None): Column

    Permalink
    Attributes
    protected
    Definition Classes
    HasEmbeddingsProperties
  139. def wrapSentenceEmbeddingsMetadata(col: Column, embeddingsDim: Int, embeddingsRef: Option[String] = None): Column

    Permalink
    Attributes
    protected
    Definition Classes
    HasEmbeddingsProperties
  140. def write: MLWriter

    Permalink
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable
  141. def writeTensorflowHub(path: String, tfPath: String, spark: SparkSession, suffix: String = "_use"): Unit

    Permalink
    Definition Classes
    WriteTensorflowModel
  142. def writeTensorflowModel(path: String, spark: SparkSession, tensorflow: TensorflowWrapper, suffix: String, filename: String, configProtoBytes: Option[Array[Byte]] = None): Unit

    Permalink
    Definition Classes
    WriteTensorflowModel

Inherited from HasStorageRef

Inherited from HasEmbeddingsProperties

Inherited from WriteTensorflowModel

Inherited from AnnotatorModel[BertEmbeddings]

Inherited from CanBeLazy

Inherited from RawAnnotator[BertEmbeddings]

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasOutputAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[BertEmbeddings]

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

Ungrouped