Class/Object

com.johnsnowlabs.nlp.annotators.ld.dl

LanguageDetectorDL

Related Docs: object LanguageDetectorDL | package dl

Permalink

class LanguageDetectorDL extends AnnotatorModel[LanguageDetectorDL] with WriteTensorflowModel

Language Identification by using Deep Neural Network in TensowrFlow and Keras LanguageDetectorDL is an annotator that detects the language of documents or sentenccecs depending on the inputCols

The models are trained on large datasets from Wikipedia The output is a language code in Wiki Code style: https://en.wikipedia.org/wiki/List_of_Wikipedias

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

Instance Constructors

  1. new LanguageDetectorDL()

    Permalink
  2. new LanguageDetectorDL(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
    AnnotatorModel
  11. val alphabet: MapFeature[String, Int]

    Permalink

    alphabet

  12. 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
    LanguageDetectorDLAnnotatorModel
  13. final def asInstanceOf[T0]: T0

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

    Permalink
    Attributes
    protected
    Definition Classes
    AnnotatorModel
  15. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean

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

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

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. val coalesceSentences: BooleanParam

    Permalink

    coalesceSentences

  19. val configProtoBytes: IntArrayParam

    Permalink

    ConfigProto from tensorflow, serialized into byte array.

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

  20. def copy(extra: ParamMap): LanguageDetectorDL

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  23. 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
  24. final def eq(arg0: AnyRef): Boolean

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

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

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

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

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

    Permalink

    Override for additional custom schema checks

    Override for additional custom schema checks

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

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

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

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

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

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

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

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

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

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

    Permalink
    Definition Classes
    AnyRef → Any
  40. def getCoalesceSentences: Boolean

    Permalink

  41. def getConfigProtoBytes: Option[Array[Byte]]

    Permalink

    ConfigProto from tensorflow, serialized into byte array.

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

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

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

    Permalink

    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  44. def getLazyAnnotator: Boolean

    Permalink
    Definition Classes
    CanBeLazy
  45. def getModelIfNotSet: TensorflowLD

    Permalink

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

    Permalink
    Definition Classes
    Params
  47. final def getOutputCol: String

    Permalink

    Gets annotation column name going to generate

    Gets annotation column name going to generate

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

    Permalink
    Definition Classes
    Params
  49. def getThreshold: Float

    Permalink

    threshold

  50. def getThresholdLabel: String

    Permalink

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

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

    Permalink
    Definition Classes
    Params
  53. def hasParent: Boolean

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  57. 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
    LanguageDetectorDLHasInputAnnotationCols
  58. 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
  59. final def isDefined(param: Param[_]): Boolean

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  63. val language: MapFeature[String, Int]

    Permalink

    language

  64. val lazyAnnotator: BooleanParam

    Permalink
    Definition Classes
    CanBeLazy
  65. def log: Logger

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

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

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

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

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

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

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

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

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Logging
  77. def msgHelper(schema: StructType): String

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

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

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

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

    Permalink
  82. val outputAnnotatorType: AnnotatorType

    Permalink
  83. final val outputCol: Param[String]

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

    Permalink
    Definition Classes
    Params
  85. var parent: Estimator[LanguageDetectorDL]

    Permalink
    Definition Classes
    Model
  86. def save(path: String): Unit

    Permalink
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  87. def set[T](feature: StructFeature[T], value: T): LanguageDetectorDL.this.type

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

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

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

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

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

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

    Permalink
    Definition Classes
    Params
  94. def setAlphabet(value: Map[String, Int]): LanguageDetectorDL.this.type

    Permalink

    alphabet used to feed the TensorFlow model for prediction

  95. def setCoalesceSentences(value: Boolean): LanguageDetectorDL.this.type

    Permalink

    If sets to true the output of all sentences will be averaged to one output instead of one output per sentence.

    If sets to true the output of all sentences will be averaged to one output instead of one output per sentence. Default to false.

  96. def setConfigProtoBytes(bytes: Array[Int]): LanguageDetectorDL.this.type

    Permalink

    ConfigProto from tensorflow, serialized into byte array.

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

  97. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): LanguageDetectorDL.this.type

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

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

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    Params
  103. final def setInputCols(value: String*): LanguageDetectorDL.this.type

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

    Permalink

    Overrides required annotators column if different than default

    Overrides required annotators column if different than default

    Definition Classes
    HasInputAnnotationCols
  105. def setLanguage(value: Map[String, Int]): LanguageDetectorDL.this.type

    Permalink

    language used to map prediction to two-letter (ISO 639-1) language codes

  106. def setLazyAnnotator(value: Boolean): LanguageDetectorDL.this.type

    Permalink
    Definition Classes
    CanBeLazy
  107. def setModelIfNotSet(spark: SparkSession, tensorflow: TensorflowWrapper): LanguageDetectorDL.this.type

    Permalink

  108. final def setOutputCol(value: String): LanguageDetectorDL.this.type

    Permalink

    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  109. def setParent(parent: Estimator[LanguageDetectorDL]): LanguageDetectorDL

    Permalink
    Definition Classes
    Model
  110. def setThreshold(threshold: Float): LanguageDetectorDL.this.type

    Permalink

    The minimum threshold for the final result otheriwse it will be either Unknown or the value set in thresholdLabel.

  111. def setThresholdLabel(label: String): LanguageDetectorDL.this.type

    Permalink

    In case the score of prediction is less than threshold, what should be the label.

    In case the score of prediction is less than threshold, what should be the label. Default is Unknown.

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

    Permalink
    Definition Classes
    AnyRef
  113. val threshold: FloatParam

    Permalink

    threshold

  114. val thresholdLabel: Param[String]

    Permalink

    thresholdLabel

  115. def toString(): String

    Permalink
    Definition Classes
    Identifiable → AnyRef → Any
  116. 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
  117. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

    Permalink
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  119. 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
  120. def transformSchema(schema: StructType, logging: Boolean): StructType

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

    Permalink
    Definition Classes
    LanguageDetectorDL → Identifiable
  122. 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
  123. final def wait(): Unit

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

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

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

    Permalink
    Attributes
    protected
    Definition Classes
    RawAnnotator
  127. def write: MLWriter

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

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

    Permalink
    Definition Classes
    WriteTensorflowModel
  130. def writeTensorflowModelV2(path: String, spark: SparkSession, tensorflow: TensorflowWrapper, suffix: String, filename: String, configProtoBytes: Option[Array[Byte]] = None): Unit

    Permalink
    Definition Classes
    WriteTensorflowModel

Inherited from WriteTensorflowModel

Inherited from CanBeLazy

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasOutputAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[LanguageDetectorDL]

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

thresholdLabel

Parameters

Members

Parameter setters

Parameter getters