Class/Object

ai.h2o.sparkling.ml.models

H2OWord2VecMOJOModel

Related Docs: object H2OWord2VecMOJOModel | package models

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class H2OWord2VecMOJOModel extends H2OFeatureMOJOModel with H2OWord2VecMOJOBase with ParameterConstructorMethods with Logging

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Inherited
  1. H2OWord2VecMOJOModel
  2. ParameterConstructorMethods
  3. H2OWord2VecMOJOBase
  4. H2OWord2VecExtraParams
  5. HasInputColOnMOJO
  6. HasOutputCol
  7. H2OFeatureMOJOModel
  8. H2OFeatureEstimatorBase
  9. H2OMOJOModel
  10. HasFeatureTypesOnMOJO
  11. H2OBaseMOJOParams
  12. HasDataFrameSerializer
  13. SpecificMOJOParameters
  14. H2OMOJOModelUtils
  15. Logging
  16. H2OMOJOWritable
  17. MLWritable
  18. HasMojo
  19. H2OMOJOFlattenedInput
  20. Model
  21. Transformer
  22. PipelineStage
  23. Logging
  24. Params
  25. Serializable
  26. Serializable
  27. Identifiable
  28. AnyRef
  29. Any
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Instance Constructors

  1. new H2OWord2VecMOJOModel(uid: String)

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

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    Definition Classes
    AnyRef → Any
  5. def applyPredictionUdf(dataset: Dataset[_], udfConstructor: (Array[String]) ⇒ UserDefinedFunction): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  6. def applyPredictionUdfToFlatDataFrame(flatDataFrame: DataFrame, udfConstructor: (Array[String]) ⇒ UserDefinedFunction, inputs: Array[String]): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelH2OMOJOFlattenedInput
  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  8. def booleanParam(name: String, doc: String): BooleanParam

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    Attributes
    protected
    Definition Classes
    ParameterConstructorMethods
  9. final def clear(param: Param[_]): H2OWord2VecMOJOModel.this.type

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    Definition Classes
    Params
  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. final val convertInvalidNumbersToNa: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  12. final val convertUnknownCategoricalLevelsToNa: BooleanParam

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    Attributes
    protected
    Definition Classes
    H2OBaseMOJOParams
  13. def copy(extra: ParamMap): H2OFeatureMOJOModel

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    Definition Classes
    H2OFeatureMOJOModelH2OMOJOModel → Model → Transformer → PipelineStage → Params
  14. def copyExtraParams(to: H2OWord2VecExtraParams): Unit

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    Attributes
    protected
    Definition Classes
    H2OWord2VecExtraParams
  15. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  16. final val crossValidationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  17. final val crossValidationMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  18. final val crossValidationMetricsSummary: NullableDataFrameParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  19. var crossValidationModels: Array[H2OMOJOModel]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  20. var crossValidationModelsScoringHistory: NullableDataFrameArrayParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  21. final val dataFrameSerializer: Param[String]

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    Definition Classes
    HasDataFrameSerializer
  22. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Definition Classes
    Params
  23. final val defaultThreshold: DoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  24. def doubleArrayParam(name: String, doc: String): DoubleArrayParam

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    Definition Classes
    ParameterConstructorMethods
  25. def doubleParam(name: String, doc: String): DoubleParam

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    Definition Classes
    ParameterConstructorMethods
  26. final val endTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  27. val epochs: IntParam

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    protected
  28. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  29. def equals(arg0: Any): Boolean

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    Definition Classes
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  30. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  31. def explainParams(): String

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    Definition Classes
    Params
  32. val exportCheckpointsDir: NullableStringParam

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    Attributes
    protected
  33. def extractCrossValidationMetricsSummary(modelJson: JsonObject): DataFrame

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  34. def extractFeatureImportances(outputJson: JsonObject): DataFrame

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    Definition Classes
    H2OMOJOModelUtils
  35. def extractFeatureTypes(outputJson: JsonObject): Map[String, String]

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  36. def extractJsonFieldValue[T](outputJson: JsonObject, fieldName: String, getValue: (JsonElement) ⇒ T, defaultValue: T): T

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  37. def extractJsonTables(outputJson: JsonObject, fieldName: String): Array[DataFrame]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  38. def extractMetrics(json: JsonObject, metricType: String): Map[String, Double]

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    Definition Classes
    H2OMOJOModelUtils
  39. def extractMetricsObject(json: JsonObject, metricType: String, algoName: String, modelCategory: internals.H2OModelCategory.Value, dataFrameSerializerGetter: () ⇒ String): H2OMetrics

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  40. def extractModelCategory(outputJson: JsonObject): internals.H2OModelCategory.Value

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    protected
    Definition Classes
    H2OMOJOModelUtils
  41. def extractModelSummary(outputJson: JsonObject): DataFrame

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    Attributes
    protected[ai.h2o.sparkling.ml.models]
    Definition Classes
    H2OMOJOModelUtils
  42. final def extractParamMap(): ParamMap

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

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    Definition Classes
    Params
  44. def extractParams(modelJson: JsonObject): Map[String, String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  45. def extractScoringHistory(outputJson: JsonObject): DataFrame

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    Definition Classes
    H2OMOJOModelUtils
  46. final val featureImportances: NullableDataFrameParam

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    protected
    Definition Classes
    H2OMOJOModel
  47. final val featureTypes: MapStringStringParam

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    protected
    Definition Classes
    HasFeatureTypesOnMOJO
  48. def finalize(): Unit

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    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  49. def floatParam(name: String, doc: String): FloatParam

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    ParameterConstructorMethods
  50. final def get[T](param: Param[T]): Option[T]

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

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    Definition Classes
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  52. def getConvertInvalidNumbersToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  53. def getConvertUnknownCategoricalLevelsToNa(): Boolean

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    Definition Classes
    H2OBaseMOJOParams
  54. def getCrossValidationMetrics(): Map[String, Double]

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    Returns a map of all combined cross-validation holdout metrics of the Double type.

    Returns a map of all combined cross-validation holdout metrics of the Double type.

    Definition Classes
    H2OMOJOModel
  55. def getCrossValidationMetricsObject(): H2OCommonMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.

    Returns an object holding all metrics of the Double type and also more complex performance information combined from cross-validation holdouts.

    Definition Classes
    H2OWord2VecMOJOModelH2OMOJOModel
  56. def getCrossValidationMetricsSummary(): DataFrame

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    Returns a data frame with information about performance of individual folds according to various model metrics.

    Returns a data frame with information about performance of individual folds according to various model metrics.

    Definition Classes
    H2OMOJOModel
  57. def getCrossValidationModels(): Seq[H2OWord2VecMOJOModel.this.type]

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    Definition Classes
    H2OMOJOModel
  58. def getCrossValidationModelsScoringHistory(): Array[DataFrame]

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    Definition Classes
    H2OMOJOModel
  59. def getCurrentMetrics(): Map[String, Double]

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    Returns a map of all metrics of the Double type.

    Returns a map of all metrics of the Double type. If the nfolds parameter was set, the metrics were combined from cross-validation holdouts. If cross validations wasn't enabled, the metrics were calculated from a validation dataset. If the validation dataset wasn't available, the metrics were calculated from the training dataset.

    Definition Classes
    H2OMOJOModel
  60. def getCurrentMetricsObject(): H2OMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information.

    Returns an object holding all metrics of the Double type and also more complex performance information. If the nfolds parameter was set, the object was combined from cross-validation holdouts. If cross validations wasn't enabled, the object was calculated from a validation dataset. If the validation dataset wasn't available, the object was calculated from the training dataset.

    Definition Classes
    H2OMOJOModel
  61. def getDataFrameSerializer(): String

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    Definition Classes
    HasDataFrameSerializer
  62. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  63. def getDefaultThreshold(): Double

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    Definition Classes
    H2OMOJOModel
  64. def getDomainValues(): Map[String, Array[String]]

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    Definition Classes
    H2OMOJOModel
  65. def getEndTime(): Long

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    Definition Classes
    H2OMOJOModel
  66. def getEpochs(): Int

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  67. def getExportCheckpointsDir(): String

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  68. def getFeatureImportances(): DataFrame

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    Definition Classes
    H2OMOJOModel
  69. def getFeatureTypes(): Map[String, String]

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    Definition Classes
    HasFeatureTypesOnMOJO
  70. def getInitLearningRate(): Float

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  71. def getInputCol(): String

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    Definition Classes
    HasInputColOnMOJO
  72. def getMaxRuntimeSecs(): Double

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  73. def getMinWordFreq(): Int

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  74. def getModelCategory(): String

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    Definition Classes
    H2OMOJOModel
  75. def getModelDetails(): String

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    Definition Classes
    H2OMOJOModel
  76. def getModelDetails(modelJson: JsonObject): String

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    Attributes
    protected
    Definition Classes
    H2OMOJOModelUtils
  77. def getModelJson(mojo: File): JsonObject

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    Attributes
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    Definition Classes
    H2OMOJOModelUtils
  78. def getModelSummary(): DataFrame

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    Definition Classes
    H2OMOJOModel
  79. def getNormModel(): String

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

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    Definition Classes
    Params
  81. def getOutputCol(): String

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    Definition Classes
    HasOutputCol
  82. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  83. def getRelevantColumnNames(flatDataFrame: DataFrame, inputs: Array[String]): Array[String]

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    Attributes
    protected
    Definition Classes
    H2OMOJOFlattenedInput
  84. def getRunTime(): Long

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    Definition Classes
    H2OMOJOModel
  85. def getScoringHistory(): DataFrame

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    Definition Classes
    H2OMOJOModel
  86. def getSentSampleRate(): Float

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  87. def getStartTime(): Long

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    Definition Classes
    H2OMOJOModel
  88. def getTrainingMetrics(): Map[String, Double]

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    Returns a map of all metrics of the Double type calculated on the training dataset.

    Returns a map of all metrics of the Double type calculated on the training dataset.

    Definition Classes
    H2OMOJOModel
  89. def getTrainingMetricsObject(): H2OCommonMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.

    Returns an object holding all metrics of the Double type and also more complex performance information calculated on the training dataset.

    Definition Classes
    H2OWord2VecMOJOModelH2OMOJOModel
  90. def getTrainingParams(): Map[String, String]

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    Definition Classes
    H2OMOJOModel
  91. def getValidationMetrics(): Map[String, Double]

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    Returns a map of all metrics of the Double type calculated on the validation dataset.

    Returns a map of all metrics of the Double type calculated on the validation dataset.

    Definition Classes
    H2OMOJOModel
  92. def getValidationMetricsObject(): H2OCommonMetrics

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    Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.

    Returns an object holding all metrics of the Double type and also more complex performance information calculated on the validation dataset.

    Definition Classes
    H2OWord2VecMOJOModelH2OMOJOModel
  93. def getVecSize(): Int

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  94. def getWindowSize(): Int

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  95. def getWordModel(): String

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

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    Params
  97. def hasParam(paramName: String): Boolean

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    Params
  98. def hasParent: Boolean

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    Definition Classes
    Model
  99. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  100. val initLearningRate: FloatParam

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    Attributes
    protected
  101. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
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    Logging
  102. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  103. val inputCol: Param[String]

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    Attributes
    protected
    Definition Classes
    HasInputColOnMOJO
  104. def inputColumnNames: Array[String]

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    Attributes
    protected
    Definition Classes
    H2OWord2VecMOJOBaseH2OMOJOFlattenedInput
  105. def intArrayParam(name: String, doc: String): IntArrayParam

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    protected
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    ParameterConstructorMethods
  106. def intParam(name: String, doc: String): IntParam

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

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  108. final def isInstanceOf[T0]: Boolean

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

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  110. def isTraceEnabled(): Boolean

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    protected
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    Logging
  111. def jsonFieldToDataFrame(outputJson: JsonObject, fieldName: String): DataFrame

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    H2OMOJOModelUtils
  112. def jsonFieldToDoubleArray(outputJson: JsonObject, fieldName: String): Array[Double]

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    H2OMOJOModelUtils
  113. def log: Logger

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    Logging
  114. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  115. def logDebug(msg: ⇒ String): Unit

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    Logging
  116. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  117. def logError(msg: ⇒ String): Unit

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    Logging
  118. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  119. def logInfo(msg: ⇒ String): Unit

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    Logging
  120. def logName: String

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    Logging
  121. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  122. def logTrace(msg: ⇒ String): Unit

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    Logging
  123. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Logging
  124. def logWarning(msg: ⇒ String): Unit

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    Logging
  125. def longParam(name: String, doc: String): LongParam

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  126. val maxRuntimeSecs: DoubleParam

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  127. val minWordFreq: IntParam

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  128. final val modelCategory: NullableStringParam

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    Attributes
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    H2OMOJOModel
  129. final val modelDetails: NullableStringParam

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    H2OMOJOModel
  130. final val modelSummary: NullableDataFrameParam

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    H2OMOJOModel
  131. def mojoUDF: UserDefinedFunction

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    protected
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    H2OWord2VecMOJOBaseH2OFeatureMOJOModel
  132. final def ne(arg0: AnyRef): Boolean

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    AnyRef
  133. val nonSerializableField: AnyRef

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    Definition Classes
    H2OMOJOModel
  134. val normModel: NullableStringParam

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  135. final def notify(): Unit

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  136. final def notifyAll(): Unit

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  137. def nullableDataFrameParam(name: String, doc: String): NullableDataFrameParam

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    H2OMOJOModel
  138. def nullableDoubleArrayArrayParam(name: String, doc: String): NullableDoubleArrayArrayParam

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    ParameterConstructorMethods
  139. def nullableDoubleArrayParam(name: String, doc: String): NullableDoubleArrayParam

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  140. def nullableFloatArrayParam(name: String, doc: String): NullableFloatArrayParam

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  141. def nullableIntArrayParam(name: String, doc: String): NullableIntArrayParam

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  142. def nullableStringArrayArrayParam(name: String, doc: String): NullableStringArrayArrayParam

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  143. def nullableStringArrayParam(name: String, doc: String): NullableStringArrayParam

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  144. def nullableStringPairArrayParam(name: String, doc: String): NullableStringPairArrayParam

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  145. def nullableStringParam(name: String, doc: String): NullableStringParam

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  146. def outputColumnName: String

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    protected
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    H2OFeatureMOJOModelH2OMOJOFlattenedInput
  147. def outputSchema: Seq[StructField]

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    H2OWord2VecExtraParamsH2OFeatureEstimatorBase
  148. def param[T](name: String, doc: String): Param[T]

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  149. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  150. var parent: Estimator[H2OMOJOModel]

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    Definition Classes
    Model
  151. final val runTime: LongParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  152. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  153. final val scoringHistory: NullableDataFrameParam

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    H2OMOJOModel
  154. val sentSampleRate: FloatParam

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    protected
  155. final def set(paramPair: ParamPair[_]): H2OWord2VecMOJOModel.this.type

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  156. final def set(param: String, value: Any): H2OWord2VecMOJOModel.this.type

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  157. final def set[T](param: Param[T], value: T): H2OWord2VecMOJOModel.this.type

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    Definition Classes
    Params
  158. def setDataFrameSerializer(fullClassName: String): H2OWord2VecMOJOModel.this.type

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    Definition Classes
    H2OBaseMOJOParams
  159. final def setDefault(paramPairs: ParamPair[_]*): H2OWord2VecMOJOModel.this.type

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    Params
  160. final def setDefault[T](param: Param[T], value: T): H2OWord2VecMOJOModel.this.type

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    Attributes
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    Params
  161. def setInputCol(name: String): H2OWord2VecMOJOModel.this.type

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    Definition Classes
    HasInputColOnMOJO
  162. def setMojo(mojo: File): H2OWord2VecMOJOModel.this.type

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    Definition Classes
    HasMojo
  163. def setMojo(mojo: InputStream, mojoName: String): H2OWord2VecMOJOModel.this.type

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    Definition Classes
    HasMojo
  164. def setMojo(mojo: InputStream): H2OWord2VecMOJOModel.this.type

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    Definition Classes
    HasMojo
  165. def setOutputCol(name: String): H2OWord2VecMOJOModel.this.type

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    Definition Classes
    HasOutputCol
  166. def setParent(parent: Estimator[H2OMOJOModel]): H2OMOJOModel

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    Definition Classes
    Model
  167. final val startTime: LongParam

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    protected
    Definition Classes
    H2OMOJOModel
  168. def stringArrayParam(name: String, doc: String): StringArrayParam

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    ParameterConstructorMethods
  169. def stringParam(name: String, doc: String): Param[String]

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

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    Definition Classes
    AnyRef
  171. def toString(): String

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    Definition Classes
    H2OMOJOModel → Identifiable → AnyRef → Any
  172. final val trainingMetrics: MapStringDoubleParam

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    H2OMOJOModel
  173. final val trainingMetricsObject: NullableMetricsParam

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    Definition Classes
    H2OMOJOModel
  174. final val trainingParams: MapStringStringParam

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    Attributes
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    Definition Classes
    H2OMOJOModel
  175. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    H2OWord2VecMOJOBaseH2OFeatureMOJOModel → Transformer
  176. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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

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

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    Definition Classes
    H2OFeatureEstimatorBase → PipelineStage
  179. def transformSchema(schema: StructType, logging: Boolean): StructType

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

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    Definition Classes
    H2OWord2VecMOJOModel → Identifiable
  181. def unwrapMojoModel(): MojoModel

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    The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.

    The method returns an internal H2O-3 mojo model, which can be subsequently used with EasyPredictModelWrapper to perform predictions on individual rows.

    Definition Classes
    H2OMOJOModel
  182. def validate(schema: StructType): Unit

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    Attributes
    protected
    Definition Classes
    H2OWord2VecExtraParamsH2OFeatureEstimatorBase
  183. final val validationMetrics: MapStringDoubleParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  184. final val validationMetricsObject: NullableMetricsParam

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    Attributes
    protected
    Definition Classes
    H2OMOJOModel
  185. val vecSize: IntParam

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    Attributes
    protected
  186. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  189. val windowSize: IntParam

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    Attributes
    protected
  190. val wordModel: NullableStringParam

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    Attributes
    protected
  191. def write: MLWriter

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    Definition Classes
    H2OMOJOWritable → MLWritable

Inherited from H2OWord2VecMOJOBase

Inherited from H2OWord2VecExtraParams

Inherited from HasInputColOnMOJO

Inherited from HasOutputCol

Inherited from H2OFeatureMOJOModel

Inherited from H2OFeatureEstimatorBase

Inherited from H2OMOJOModel

Inherited from HasFeatureTypesOnMOJO

Inherited from H2OBaseMOJOParams

Inherited from HasDataFrameSerializer

Inherited from SpecificMOJOParameters

Inherited from H2OMOJOModelUtils

Inherited from Logging

Inherited from H2OMOJOWritable

Inherited from MLWritable

Inherited from HasMojo

Inherited from H2OMOJOFlattenedInput

Inherited from Model[H2OMOJOModel]

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