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  • Get Started

  • Use Cases

  • Example Gallery

  • Library

    • Ray CoreScale general Python applications

    • Ray DataScale data ingest and preprocessing

    • Ray TrainScale machine learning training

    • Ray TuneScale hyperparameter tuning

    • Ray ServeScale model serving

    • Ray RLlibScale reinforcement learning

  • APIs

  • Resources

    • Discussion ForumGet your Ray questions answered

    • TrainingHands-on learning

    • BlogUpdates, best practices, user-stories

    • EventsWebinars, meetups, office hours

    • Success StoriesReal-world workload examples

    • EcosystemLibraries integrated with Ray

    • CommunityConnect with us

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  • Ray APIs
  • Ray Data API
  • Preprocessor
  • LabelEncoder
  • inverse_transform

inverse_transform#

LabelEncoder.inverse_transform(ds: Dataset) → Dataset[source]#

Inverse transform the given dataset.

Parameters:

ds – Input Dataset that has been fitted and/or transformed.

Returns:

The inverse transformed Dataset.

Return type:

ray.data.Dataset

Raises:

PreprocessorNotFittedException – if fit is not called yet.

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  • LabelEncoder.inverse_transform()
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