Class/Object

com.johnsnowlabs.nlp.annotators.spell.norvig

NorvigSweetingModel

Related Docs: object NorvigSweetingModel | package norvig

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class NorvigSweetingModel extends AnnotatorModel[NorvigSweetingModel] with NorvigSweetingParams

Linear Supertypes
NorvigSweetingParams, AnnotatorModel[NorvigSweetingModel], HasOutputAnnotationCol, HasInputAnnotationCols, HasAnnotatorType, ParamsAndFeaturesWritable, HasFeatures, DefaultParamsWritable, MLWritable, Model[NorvigSweetingModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. NorvigSweetingModel
  2. NorvigSweetingParams
  3. AnnotatorModel
  4. HasOutputAnnotationCol
  5. HasInputAnnotationCols
  6. HasAnnotatorType
  7. ParamsAndFeaturesWritable
  8. HasFeatures
  9. DefaultParamsWritable
  10. MLWritable
  11. Model
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new NorvigSweetingModel()

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  2. new NorvigSweetingModel(uid: String)

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Type Members

  1. type AnnotatorType = String

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    Definition Classes
    HasAnnotatorType

Value Members

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

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

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

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

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

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

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

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    Definition Classes
    AnyRef → Any
  8. def annotate(annotations: Seq[Annotation]): Seq[Annotation]

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    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
    NorvigSweetingModelAnnotatorModel
  9. val annotatorType: AnnotatorType

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    Annotator reference id.

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

    Definition Classes
    NorvigSweetingModelHasAnnotatorType
  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  11. def cartesianProduct[T](xss: List[List[_]]): List[List[_]]

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    number of items duplicated in some text

  12. val caseSensitive: BooleanParam

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    Definition Classes
    NorvigSweetingParams
  13. def check(raw: String): String

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  14. final def clear(param: Param[_]): NorvigSweetingModel.this.type

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    Definition Classes
    Params
  15. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  16. def copy(extra: ParamMap): NorvigSweetingModel

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    requirement for annotators copies

    requirement for annotators copies

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

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    Attributes
    protected
    Definition Classes
    Params
  18. val customDict: MapFeature[String, String]

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

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    Attributes
    protected
    Definition Classes
    Params
  20. val doubleVariants: BooleanParam

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    Definition Classes
    NorvigSweetingParams
  21. final def eq(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    Params
  24. def explainParams(): String

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    Definition Classes
    Params
  25. final def extractParamMap(): ParamMap

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

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

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    Definition Classes
    HasFeatures
  28. def finalize(): Unit

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

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

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

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

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

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    Definition Classes
    AnyRef → Any
  34. def getCustomDict: Map[String, String]

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    Attributes
    protected
  35. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  36. final def getInputCols: Array[String]

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    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  37. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  38. final def getOutputCol: String

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    Gets annotation column name going to generate

    Gets annotation column name going to generate

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

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    Definition Classes
    Params
  40. def getWordCount: Map[String, Int]

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    Attributes
    protected
  41. final def hasDefault[T](param: Param[T]): Boolean

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

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    Definition Classes
    Params
  43. def hasParent: Boolean

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    Definition Classes
    Model
  44. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  45. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  46. final val inputCols: StringArrayParam

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

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

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

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    Definition Classes
    Params
  50. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  51. def log: Logger

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

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

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  58. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  63. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  64. final def notify(): Unit

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    Definition Classes
    AnyRef
  65. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  66. def onWritten(path: String, spark: SparkSession): Unit

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    Definition Classes
    ParamsAndFeaturesWritable
  67. final val outputCol: Param[String]

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

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    Definition Classes
    Params
  69. var parent: Estimator[NorvigSweetingModel]

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    Definition Classes
    Model
  70. val requiredAnnotatorTypes: Array[AnnotatorType]

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    Annotator reference id.

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

    Definition Classes
    NorvigSweetingModelHasInputAnnotationCols
  71. def save(path: String): Unit

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

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

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

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    Attributes
    protected
    Definition Classes
    HasFeatures
  75. final def set(paramPair: ParamPair[_]): NorvigSweetingModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  76. final def set(param: String, value: Any): NorvigSweetingModel.this.type

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

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    Definition Classes
    Params
  78. def setCaseSensitive(value: Boolean): NorvigSweetingModel.this.type

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    Definition Classes
    NorvigSweetingParams
  79. def setCustomDict(value: Map[String, String]): NorvigSweetingModel.this.type

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  80. def setDefault[T](feature: StructFeature[T], value: T): NorvigSweetingModel.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  81. def setDefault[K, V](feature: MapFeature[K, V], value: Map[K, V]): NorvigSweetingModel.this.type

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    Attributes
    protected
    Definition Classes
    HasFeatures
  82. def setDefault[T](feature: ArrayFeature[T], value: Array[T]): NorvigSweetingModel.this.type

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

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

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    Attributes
    protected
    Definition Classes
    Params
  85. def setDoubleVariants(value: Boolean): NorvigSweetingModel.this.type

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    Definition Classes
    NorvigSweetingParams
  86. final def setInputCols(value: String*): NorvigSweetingModel.this.type

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    Definition Classes
    HasInputAnnotationCols
  87. final def setInputCols(value: Array[String]): NorvigSweetingModel.this.type

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    Overrides required annotators column if different than default

    Overrides required annotators column if different than default

    Definition Classes
    HasInputAnnotationCols
  88. final def setOutputCol(value: String): NorvigSweetingModel.this.type

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    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  89. def setParent(parent: Estimator[NorvigSweetingModel]): NorvigSweetingModel

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    Definition Classes
    Model
  90. def setShortCircuit(value: Boolean): NorvigSweetingModel.this.type

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    Definition Classes
    NorvigSweetingParams
  91. def setWordCount(value: Map[String, Int]): NorvigSweetingModel.this.type

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  92. val shortCircuit: BooleanParam

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    Definition Classes
    NorvigSweetingParams
  93. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  94. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  95. final def transform(dataset: Dataset[_]): DataFrame

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

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

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

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    requirement for pipeline transformation validation.

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

    Definition Classes
    AnnotatorModel → PipelineStage
  99. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    Definition Classes
    NorvigSweetingModel → Identifiable
  101. def validate(schema: StructType): Boolean

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    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
    HasInputAnnotationCols
  102. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  105. val wordCount: MapFeature[String, Int]

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    Attributes
    protected
  106. def write: MLWriter

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    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Inherited from NorvigSweetingParams

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from HasAnnotatorType

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Model[NorvigSweetingModel]

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