Trait

ai.deepsense.deeplang

DOperable

Related Doc: package deeplang

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trait DOperable extends HasInferenceResult

Objects of classes with this trait can be used in two ways. 1. It can be object on which you can perform DOperations. 2. It can be used to infer knowledge about objects that will be used later in workflow, before it's execution. DOperable that can be used for execution can ALWAYS be used for inference, but not vice-versa.

Linear Supertypes
HasInferenceResult, AnyRef, Any
Known Subclasses
AFTSurvivalRegression, AFTSurvivalRegressionModel, ALS, ALSModel, Binarizer, BinaryClassificationEvaluator, ChiSqSelectorEstimator, ChiSqSelectorModel, ColumnsFilterer, CountVectorizerEstimator, CountVectorizerModel, CustomCodeColumnTransformer, CustomCodeEvaluator, CustomCodeTransformer, CustomTransformer, DataFrame, DatetimeComposer, DatetimeDecomposer, DecisionTreeClassificationModel, DecisionTreeClassifier, DecisionTreeRegression, DecisionTreeRegressionModel, DiscreteCosineTransformer, Estimator, Evaluator, GBTClassificationModel, GBTClassifier, GBTRegression, GBTRegressionModel, GetFromVectorTransformer, HashingTFTransformer, IDFEstimator, IDFModel, IsotonicRegression, IsotonicRegressionModel, KMeans, KMeansModel, LDA, LDAModel, LinearRegression, LinearRegressionModel, LogisticRegression, LogisticRegressionModel, MetricValue, MinMaxScalerEstimator, MinMaxScalerModel, MissingValuesHandler, MultiColumnEstimator, MultiColumnModel, MultiColumnStringIndexerModel, MultiColumnTransformer, MulticlassClassificationEvaluator, MultilayerPerceptronClassifier, MultilayerPerceptronClassifierModel, NGramTransformer, NaiveBayes, NaiveBayesModel, Normalizer, OneHotEncoder, PCAEstimator, PCAModel, PolynomialExpander, Projector, PythonColumnTransformer, PythonEvaluator, PythonTransformer, QuantileDiscretizerEstimator, QuantileDiscretizerModel, RColumnTransformer, REvaluator, RTransformer, RandomForestClassificationModel, RandomForestClassifier, RandomForestRegression, RandomForestRegressionModel, RegexTokenizer, RegressionEvaluator, Report, RowsFilterer, SingleColumnStringIndexerModel, SingleStringIndexer, SortTransformer, SparkEstimatorWrapper, SparkEvaluatorWrapper, SparkModelWrapper, SparkMultiColumnEstimatorWrapper, SparkSingleColumnEstimatorWrapper, SparkSingleColumnModelWrapper, SparkTransformerAsMultiColumnTransformer, SparkTransformerWrapper, SqlColumnTransformer, SqlTransformer, StandardScalerEstimator, StandardScalerModel, StopWordsRemover, StringIndexerEstimator, StringIndexerModel, StringIndexingEstimatorWrapper, StringIndexingWrapperModel, StringTokenizer, Transformer, TypeConverter, VanillaDecisionTreeClassificationModel, VanillaDecisionTreeClassifier, VanillaGBTClassificationModel, VanillaGBTClassifier, VanillaRandomForestClassificationModel, VanillaRandomForestClassifier, VectorAssembler, VectorIndexerEstimator, VectorIndexerModel, Word2VecEstimator, Word2VecModel
Ordering
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Inherited
  1. DOperable
  2. HasInferenceResult
  3. AnyRef
  4. Any
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Visibility
  1. Public
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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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  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Any

  5. def clone(): AnyRef

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    protected[java.lang]
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    AnyRef
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    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

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    AnyRef

  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. def inferenceResult: Option[InferenceResult]

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    Definition Classes
    HasInferenceResult

  12. final def isInstanceOf[T0]: Boolean

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    Any

  13. final def ne(arg0: AnyRef): Boolean

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    AnyRef

  14. final def notify(): Unit

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    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

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    AnyRef

  16. def report: Report

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

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    AnyRef

  18. def toString(): String

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  19. final def wait(): Unit

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    AnyRef
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    @throws( ... )

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

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    @throws( ... )

  21. final def wait(arg0: Long): Unit

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Inherited from HasInferenceResult

Inherited from AnyRef

Inherited from Any

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