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.  val DOCUMENT_VARIABLE_NAME: String

   Attributes

   protected

   Definition Classes

   MedicalTextGenerator

10.  val QUESTION_VARIABLE_NAME: String

    Attributes

    protected

11.  val TABLES_VARIABLE_NAME: String

    Attributes

    protected

12.  val TABLES_WITH_COLUMNS_VARIABLE_NAME: String

    Attributes

    protected

13.  val TABLE_COLUMNS_VARIABLE_NAME: String

    Attributes

    protected

14.  val TABLE_NAME_VARIABLE_NAME: String

    Attributes

    protected

15.  def _transform(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): DataFrame

    Attributes

    protected

    Definition Classes

    AnnotatorModel

16.  val additionalTokens: MapFeature[Int, String]

    Additional tokens

    Additional tokens

    Definition Classes

    MedicalTextGenerator

17.  def afterAnnotate(dataset: DataFrame): DataFrame

    Attributes

    protected

    Definition Classes

    AnnotatorModel

18.  def applyVariablesToPrompt(prompt: String, question: String): String
19.  final def asInstanceOf[T0]: T0

    Definition Classes

    Any

20.  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

    Text2SQL → MedicalTextGenerator → HasBatchedAnnotate

21.  def batchProcess(rows: Iterator[_]): Iterator[Row]

    Definition Classes

    HasBatchedAnnotate

22.  val batchSize: IntParam

    Definition Classes

    HasBatchedAnnotate

23.  def batchedAnnotateWithoutPromptTemplate(batchedAnnotations: Seq[Array[Annotation]]): Seq[Seq[Annotation]]

    Definition Classes

    MedicalTextGenerator

24.  def beforeAnnotate(dataset: Dataset[_]): Dataset[_]

    Attributes

    protected

    Definition Classes

    AnnotatorModel

25.  val caseSensitive: BooleanParam

    Definition Classes

    HasCaseSensitiveProperties

26.  final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

    Attributes

    protected

    Definition Classes

    HasInputAnnotationCols

27.  def checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String]): Unit

    Definition Classes

    CheckLicense

28.  def checkValidScope(scope: String): Unit

    Definition Classes

    CheckLicense

29.  def checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean): Unit

    Definition Classes

    CheckLicense

30.  def checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean): Unit

    Definition Classes

    CheckLicense

31.  final def clear(param: Param[_]): Text2SQL.this.type

    Definition Classes

    Params

32.  def clone(): AnyRef

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()

33.  val configProtoBytes: IntArrayParam

    ConfigProto from tensorflow, serialized into byte array.

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

    Definition Classes

    MedicalTextGenerator

34.  def copy(extra: ParamMap): MedicalQuestionAnswering

    Definition Classes

    RawAnnotator → Model → Transformer → PipelineStage → Params

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

    Attributes

    protected

    Definition Classes

    Params

36.  val customPrompt: Param[String]

    Custom model prompt

    Custom model prompt

    Definition Classes

    MedicalTextGenerator

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

    Attributes

    protected

    Definition Classes

    Params

38.  val doSample: BooleanParam

    Whether or not to use sampling, use greedy decoding otherwise (Default: false)

    Whether or not to use sampling, use greedy decoding otherwise (Default: false)

    Definition Classes

    GPTGenerationParams

39.  val engine: Param[String]

    Definition Classes

    HasEngine

40.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

41.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

42.  def explainParam(param: Param[_]): String

    Definition Classes

    Params

43.  def explainParams(): String

    Definition Classes

    Params

44.  def extraValidate(structType: StructType): Boolean

    Attributes

    protected

    Definition Classes

    RawAnnotator

45.  def extraValidateMsg: String

    Attributes

    protected

    Definition Classes

    RawAnnotator

46.  final def extractParamMap(): ParamMap

    Definition Classes

    Params

47.  final def extractParamMap(extra: ParamMap): ParamMap

    Definition Classes

    Params

48.  val features: ArrayBuffer[Feature[_, _, _]]

    Definition Classes

    HasFeatures

49.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

50.  def generateSchemaVariables(): Map[String, String]
51.  def get[T](feature: StructFeature[T]): Option[T]

    Attributes

    protected

    Definition Classes

    HasFeatures

52.  def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]

    Attributes

    protected

    Definition Classes

    HasFeatures

53.  def get[T](feature: SetFeature[T]): Option[Set[T]]

    Attributes

    protected

    Definition Classes

    HasFeatures

54.  def get[T](feature: ArrayFeature[T]): Option[Array[T]]

    Attributes

    protected

    Definition Classes

    HasFeatures

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

    Definition Classes

    Params

56.  def getAdditionalTokens: Map[Int, String]

    Get additional tokens

    Get additional tokens

    Definition Classes

    MedicalTextGenerator

57.  def getAdditionalTokensStr: String

    Get additional tokens in string format

    Get additional tokens in string format

    Definition Classes

    MedicalTextGenerator

58.  def getBatchSize: Int

    Definition Classes

    HasBatchedAnnotate

59.  def getCaseSensitive: Boolean

    Definition Classes

    HasCaseSensitiveProperties

60.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

61.  def getConfigProtoBytes: Option[Array[Byte]]
    Definition Classes

    MedicalTextGenerator

62.  def getCustomPrompt: String

    Custom model prompt

    Custom model prompt

    Attributes

    protected

    Definition Classes

    MedicalTextGenerator

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

    Definition Classes

    Params

64.  def getDoSample: Boolean
    Definition Classes

    GPTGenerationParams

65.  def getEngine: String

    Definition Classes

    HasEngine

66.  def getIgnoreTokenIds: Array[Int]
    Definition Classes

    GPTGenerationParams

67.  def getInputCols: Array[String]

    Definition Classes

    HasInputAnnotationCols

68.  def getLazyAnnotator: Boolean

    Definition Classes

    CanBeLazy

69.  def getMaxContextLength: Int
    Definition Classes

    GPTGenerationParams

70.  def getMaxNewTokens: Int
    Definition Classes

    GPTGenerationParams

71.  def getMaxTextLength: Int
    Definition Classes

    MedicalTextGenerator

72.  def getMlFrameworkType: String

    Get ML framework type

    Get ML framework type

    Definition Classes

    MedicalTextGenerator

73.  def getModelIfNotSet: MedicalEncoderDecoderModel
    Definition Classes

    MedicalTextGenerator

74.  def getModelType: String

    Get model type

    Get model type

    Definition Classes

    MedicalTextGenerator

75.  def getNoRepeatNgramSize: Int
    Definition Classes

    GPTGenerationParams

76.  final def getOrDefault[T](param: Param[T]): T

    Definition Classes

    Params

77.  final def getOutputCol: String

    Definition Classes

    HasOutputAnnotationCol

78.  def getParam(paramName: String): Param[Any]

    Definition Classes

    Params

79.  def getPostProcessingSubstitutionsStr: String
80.  def getRandomSeed: Option[Int]
    Definition Classes

    GPTGenerationParams

81.  def getSQLSchemaStr: String
82.  def getSignatures: Option[Map[String, String]]

    Definition Classes

    MedicalTextGenerator

83.  def getStopAtEos: Boolean

    Checks whether text generation stops when the end-of-sentence token is encountered.

    Checks whether text generation stops when the end-of-sentence token is encountered.

    Definition Classes

    MedicalTextGenerator

84.  def getTableLimit: Int

    Get the maximum number of tables allowed

85.  def getTopK: Int
    Definition Classes

    GPTGenerationParams

86.  def getUseCache: Boolean

    Definition Classes

    MedicalTextGenerator

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

    Definition Classes

    Params

88.  def hasParam(paramName: String): Boolean

    Definition Classes

    Params

89.  def hasParent: Boolean

    Definition Classes

    Model

90.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

91.  val ignoreTokenIds: IntArrayParam

    A list of token ids which are ignored in the decoder's output (Default: Array())

    A list of token ids which are ignored in the decoder's output (Default: Array())

    Definition Classes

    GPTGenerationParams

92.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

    Attributes

    protected

    Definition Classes

    Logging

93.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit

    Attributes

    protected

    Definition Classes

    Logging

94.  val inputAnnotatorTypes: Array[String]

    Input annotator type : DOCUMENT, DOCUMENT

    Input annotator type : DOCUMENT, DOCUMENT

    Definition Classes

    MedicalTextGenerator → HasInputAnnotationCols

95.  final val inputCols: StringArrayParam

    Attributes

    protected

    Definition Classes

    HasInputAnnotationCols

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

    Definition Classes

    Params

97.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    Params

99.  def isTraceEnabled(): Boolean

    Attributes

    protected

    Definition Classes

    Logging

100.  val lazyAnnotator: BooleanParam

     Definition Classes

     CanBeLazy

101.  def log: Logger

     Attributes

     protected

     Definition Classes

     Logging

102.  def logDebug(msg: ⇒ String, throwable: Throwable): Unit

     Attributes

     protected

     Definition Classes

     Logging

103.  def logDebug(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

104.  def logError(msg: ⇒ String, throwable: Throwable): Unit

     Attributes

     protected

     Definition Classes

     Logging

105.  def logError(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

106.  def logInfo(msg: ⇒ String, throwable: Throwable): Unit

     Attributes

     protected

     Definition Classes

     Logging

107.  def logInfo(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

108.  def logName: String

     Attributes

     protected

     Definition Classes

     Logging

109.  def logTrace(msg: ⇒ String, throwable: Throwable): Unit

     Attributes

     protected

     Definition Classes

     Logging

110.  def logTrace(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

111.  def logWarning(msg: ⇒ String, throwable: Throwable): Unit

     Attributes

     protected

     Definition Classes

     Logging

112.  def logWarning(msg: ⇒ String): Unit

     Attributes

     protected

     Definition Classes

     Logging

113.  val maxContextLength: IntParam

     Maximum length of context text.

     Maximum length of context text. (Default: 1024)

     Definition Classes

     GPTGenerationParams

114.  val maxNewTokens: IntParam

     Maximum number of new tokens to be generated (Default: 30)

     Maximum number of new tokens to be generated (Default: 30)

     Definition Classes

     GPTGenerationParams

115.  val maxTextLength: IntParam

     Maximum length of context text.

     Maximum length of context text. (Default: 1024)

     Definition Classes

     MedicalTextGenerator

116.  val merges: MapFeature[(String, String), Int]

     Holding merges.txt coming from RoBERTa model

     Holding merges.txt coming from RoBERTa model

     Definition Classes

     MedicalTextGenerator

117.  val mlFrameworkType: Param[String]

     ML framework type

     ML framework type

     Definition Classes

     MedicalTextGenerator

118.  val modelType: Param[String]

     Model type

     Model type

     Definition Classes

     MedicalTextGenerator

119.  def msgHelper(schema: StructType): String

     Attributes

     protected

     Definition Classes

     HasInputAnnotationCols

120.  final def ne(arg0: AnyRef): Boolean

     Definition Classes

     AnyRef

121.  val noRepeatNgramSize: IntParam

     If set to int > 0, all ngrams of that size can only occur once (Default: 0)

     If set to int > 0, all ngrams of that size can only occur once (Default: 0)

     Definition Classes

     GPTGenerationParams

122.  final def notify(): Unit

     Definition Classes

     AnyRef

     Annotations

     @native()

123.  final def notifyAll(): Unit

     Definition Classes

     AnyRef

     Annotations

     @native()

124.  def onWrite(path: String, spark: SparkSession): Unit

     Definition Classes

     MedicalTextGenerator → ParamsAndFeaturesWritable

125.  val optionalInputAnnotatorTypes: Array[String]

     Definition Classes

     HasInputAnnotationCols

126.  val outputAnnotatorType: String

     Output annotator type : DOCUMENT

     Output annotator type : DOCUMENT

     Definition Classes

     MedicalTextGenerator → HasOutputAnnotatorType

127.  final val outputCol: Param[String]

     Attributes

     protected

     Definition Classes

     HasOutputAnnotationCol

128.  lazy val params: Array[Param[_]]

     Definition Classes

     Params

129.  var parent: Estimator[MedicalQuestionAnswering]

     Definition Classes

     Model

130.  def postProcessing(text: String): String
131.  var postProcessingSubstitutions: MapFeature[String, String]

     List of strings and their substitution to be applied in post-processing

132.  val randomSeed: Option[Int]

     Optional Random seed for the model.

     Optional Random seed for the model. Needs to be of type Long.

     Definition Classes

     GPTGenerationParams

133.  def save(path: String): Unit

     Definition Classes

     MLWritable

     Annotations

     @Since( "1.6.0" ) @throws( ... )

134.  var schema: MapFeature[String, Array[String]]

     SQL schema

135.  def set[T](feature: StructFeature[T], value: T): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     HasFeatures

136.  def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     HasFeatures

137.  def set[T](feature: SetFeature[T], value: Set[T]): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     HasFeatures

138.  def set[T](feature: ArrayFeature[T], value: Array[T]): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     HasFeatures

139.  final def set(paramPair: ParamPair[_]): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     Params

140.  final def set(param: String, value: Any): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     Params

141.  final def set[T](param: Param[T], value: T): Text2SQL.this.type

     Definition Classes

     Params

142.  def setAdditionalTokens(values: HashMap[Int, String]): Text2SQL.this.type

     Set additional tokens

     Set additional tokens

     Definition Classes

     MedicalTextGenerator

143.  def setAdditionalTokens(value: Map[Int, String]): Text2SQL.this.type

     Set additional tokens

     Set additional tokens

     Definition Classes

     MedicalTextGenerator

144.  def setBatchSize(size: Int): Text2SQL.this.type

     Definition Classes

     HasBatchedAnnotate

145.  def setCaseSensitive(value: Boolean): Text2SQL.this.type

     Definition Classes

     HasCaseSensitiveProperties

146.  def setConfigProtoBytes(bytes: Array[Int]): Text2SQL.this.type
     Definition Classes

     MedicalTextGenerator

147.  def setCustomPrompt(value: String): Text2SQL.this.type

     Set custom model prompt

     Set custom model prompt

     Definition Classes

     MedicalTextGenerator

148.  def setDefault[T](feature: StructFeature[T], value: () ⇒ T): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     HasFeatures

149.  def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     HasFeatures

150.  def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     HasFeatures

151.  def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     HasFeatures

152.  final def setDefault(paramPairs: ParamPair[_]*): Text2SQL.this.type

     Attributes

     protected

     Definition Classes

     Params

153.  final def setDefault[T](param: Param[T], value: T): Text2SQL.this.type

     Attributes

     protected[org.apache.spark.ml]

     Definition Classes

     Params

154.  def setDoSample(value: Boolean): Text2SQL.this.type
     Definition Classes

     GPTGenerationParams

155.  def setIgnoreTokenIds(tokenIds: Array[Int]): Text2SQL.this.type
     Definition Classes

     GPTGenerationParams

156.  final def setInputCols(value: String*): Text2SQL.this.type

     Definition Classes

     HasInputAnnotationCols

157.  def setInputCols(value: Array[String]): Text2SQL.this.type

     Definition Classes

     HasInputAnnotationCols

158.  def setLazyAnnotator(value: Boolean): Text2SQL.this.type

     Definition Classes

     CanBeLazy

159.  def setMaxContextLength(value: Int): Text2SQL.this.type
     Definition Classes

     GPTGenerationParams

160.  def setMaxNewTokens(value: Int): Text2SQL.this.type
     Definition Classes

     GPTGenerationParams

161.  def setMaxTextLength(value: Int): Text2SQL.this.type
     Definition Classes

     MedicalTextGenerator

162.  def setMerges(value: Map[(String, String), Int]): Text2SQL.this.type
     Definition Classes

     MedicalTextGenerator

163.  def setMlFrameworkType(value: String): Text2SQL.this.type

     Set ML framework type

     Set ML framework type

     Definition Classes

     MedicalTextGenerator

164.  def setModelIfNotSet(spark: SparkSession, model: MedicalEncoderDecoderModel): Text2SQL.this.type

     Definition Classes

     MedicalTextGenerator

165.  def setModelIfNotSet(spark: SparkSession, encoder: OnnxWrapper, decoder: OnnxWrapper, spp: SentencePieceWrapper): Text2SQL.this.type

     Definition Classes

     MedicalTextGenerator

166.  def setModelIfNotSet(spark: SparkSession, tfWrapper: TensorflowWrapper, spp: SentencePieceWrapper, useCache: Boolean): Text2SQL.this.type

     Definition Classes

     MedicalTextGenerator

167.  def setModelIfNotSet(spark: SparkSession, tfWrapper: TensorflowWrapper): Text2SQL.this.type
     Definition Classes

     MedicalTextGenerator

168.  def setModelType(value: String): Text2SQL.this.type

     Set model type

     Set model type

     Definition Classes

     MedicalTextGenerator

169.  def setNoRepeatNgramSize(value: Int): Text2SQL.this.type
     Definition Classes

     GPTGenerationParams

170.  final def setOutputCol(value: String): Text2SQL.this.type

     Definition Classes

     HasOutputAnnotationCol

171.  def setParent(parent: Estimator[MedicalQuestionAnswering]): MedicalQuestionAnswering

     Definition Classes

     Model

172.  def setPostProcessingSubstitutions(substitutions: HashMap[String, String]): Text2SQL.this.type

     Set post processing substitution strings

173.  def setPostProcessingSubstitutions(substitutions: Map[String, String]): Text2SQL.this.type

     Set post processing substitution strings

174.  def setRandomSeed(value: Int): Text2SQL.this.type
     Definition Classes

     GPTGenerationParams

175.  def setSchema(schema: HashMap[String, List[String]]): Text2SQL.this.type

     Set SQL schema

176.  def setSchema(schema: Map[String, Array[String]]): Text2SQL.this.type

     Set SQL schema

177.  def setSignatures(value: Map[String, String]): Text2SQL.this.type
     Definition Classes

     MedicalTextGenerator

178.  def setStopAtEos(value: Boolean): Text2SQL.this.type

     Determines whether text generation stops when the end-of-sentence token is encountered.

     Determines whether text generation stops when the end-of-sentence token is encountered.

     Definition Classes

     MedicalTextGenerator

179.  def setTableLimit(value: Int): Text2SQL.this.type

     Set the maximum number of tables allowed

180.  def setTopK(value: Int): Text2SQL.this.type
     Definition Classes

     GPTGenerationParams

181.  def setUseCache(value: Boolean): Text2SQL.this.type

     Definition Classes

     MedicalTextGenerator

182.  def setVocabulary(value: Map[String, Int]): Text2SQL.this.type
     Definition Classes

     MedicalTextGenerator

183.  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

     MedicalTextGenerator

184.  val stopAtEos: BooleanParam

     Stop text generation when the end-of-sentence token is encountered.

     Stop text generation when the end-of-sentence token is encountered.

     Definition Classes

     MedicalTextGenerator

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

     Definition Classes

     AnyRef

186.  var tableLimit: IntParam

     Maximum number of tables allowed

187.  def toString(): String

     Definition Classes

     Identifiable → AnyRef → Any

188.  val topK: IntParam

     The number of highest probability vocabulary tokens to consider

     The number of highest probability vocabulary tokens to consider

     Definition Classes

     GPTGenerationParams

189.  final def transform(dataset: Dataset[_]): DataFrame

     Definition Classes

     AnnotatorModel → Transformer

190.  def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" )

191.  def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

     Definition Classes

     Transformer

     Annotations

     @Since( "2.0.0" ) @varargs()

192.  final def transformSchema(schema: StructType): StructType

     Definition Classes

     RawAnnotator → PipelineStage

193.  def transformSchema(schema: StructType, logging: Boolean): StructType

     Attributes

     protected

     Definition Classes

     PipelineStage

     Annotations

     @DeveloperApi()

194.  val uid: String

     Definition Classes

     Text2SQL → MedicalTextGenerator → Identifiable

195.  val useCache: BooleanParam

     Cache internal state of the model to improve performance

     Cache internal state of the model to improve performance

     Definition Classes

     MedicalTextGenerator

196.  def validate(schema: StructType): Boolean

     Attributes

     protected

     Definition Classes

     RawAnnotator

197.  val vocabulary: MapFeature[String, Int]

     Vocabulary used to encode the words to ids with bpeTokenizer.encode

     Vocabulary used to encode the words to ids with bpeTokenizer.encode

     Definition Classes

     MedicalTextGenerator

198.  final def wait(): Unit

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

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

     Definition Classes

     AnyRef

     Annotations

     @throws( ... )

200.  final def wait(arg0: Long): Unit

     Definition Classes

     AnyRef

     Annotations

     @throws( ... ) @native()

201.  def wrapColumnMetadata(col: Column): Column

     Attributes

     protected

     Definition Classes

     RawAnnotator

202.  def write: MLWriter

     Definition Classes

     ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

203.  def writeOnnxModel(path: String, spark: SparkSession, onnxWrapper: OnnxWrapper, suffix: String, fileName: String): Unit

     Definition Classes

     WriteOnnxModel

204.  def writeOnnxModels(path: String, spark: SparkSession, onnxWrappersWithNames: Seq[(OnnxWrapper, String)], suffix: String): Unit

     Definition Classes

     WriteOnnxModel

205.  def writeSentencePieceModel(path: String, spark: SparkSession, spp: SentencePieceWrapper, suffix: String, filename: String): Unit

     Definition Classes

     WriteSentencePieceModel

206.  def writeTensorflowHub(path: String, tfPath: String, spark: SparkSession, suffix: String): Unit

     Definition Classes

     WriteTensorflowModel

207.  def writeTensorflowModel(path: String, spark: SparkSession, tensorflow: TensorflowWrapper, suffix: String, filename: String, configProtoBytes: Option[Array[Byte]]): Unit

     Definition Classes

     WriteTensorflowModel

208.  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