pytoolkit package

Subpackages

• pytoolkit.tf package
  • Submodules
    • pytoolkit.tf.layers module
      • CVPick
      • CVMerge
    • pytoolkit.tf.tdnn module
      • Model
      • train()
      • load()
  • Module contents

Submodules

• pytoolkit.base module
  • BaseModel
    • BaseModel.save()
    • BaseModel.load()
    • BaseModel.infer()
    • BaseModel.infer_oof()
    • BaseModel.infers_to_labels()
• pytoolkit.ensemble module
  • ModelMetadata
    • ModelMetadata.num_models
  • Model
    • Model.save()
    • Model.load()
    • Model.infer()
    • Model.infer_oof()
    • Model.infers_to_labels()
  • load()
• pytoolkit.lgb module
  • ModelMetadata
    • ModelMetadata.task
    • ModelMetadata.categorical_values
    • ModelMetadata.class_names
    • ModelMetadata.params
    • ModelMetadata.nfold
    • ModelMetadata.best_iteration
    • ModelMetadata.cv_scores
  • Model
    • Model.save()
    • Model.load()
    • Model.evaluate()
    • Model.infer()
    • Model.infer_oof()
    • Model.infers_to_labels()
    • Model.get_feature_names()
    • Model.get_feature_importance()
  • train()
  • load()
  • EvaluationLogger
• pytoolkit.logs module
  • init()
  • get()
  • timer()
• pytoolkit.notebooks module
  • describe()
• pytoolkit.pipelines module
  • Step
    • Step.module_path
    • Step.name
    • Step.depends_on
    • Step.use_file_cache
    • Step.use_memory_cache
    • Step.check_file_cache_time
    • Step.has_fine_train
    • Step.has_fine_test
    • Step.logger
    • Step.has_fine()
    • Step.fine
    • Step.model_dir
    • Step.run()
    • Step.invoke_single()
    • Step.invoke()
  • Pipeline
    • Pipeline.add_all()
    • Pipeline.add_from_file()
    • Pipeline.add()
    • Pipeline.check()
    • Pipeline.invoke()
    • Pipeline.get_step()
  • TransformStep
    • TransformStep.run()
    • TransformStep.transform()
  • FitTransformStep
    • FitTransformStep.transformer_save_name
    • FitTransformStep.run()
    • FitTransformStep.fit()
    • FitTransformStep.transform()
    • FitTransformStep.save_transformer()
    • FitTransformStep.load_transformer()
  • AllDataStep
    • AllDataStep.is_test_column_name
    • AllDataStep.run()
    • AllDataStep.fit_transform()
  • ModelStep
    • ModelStep.run()
    • ModelStep.train()
    • ModelStep.test()
  • TrainOnlyStep
    • TrainOnlyStep.run()
    • TrainOnlyStep.train()
• pytoolkit.sklearn module
  • ModelMetadata
    • ModelMetadata.task
    • ModelMetadata.columns
    • ModelMetadata.class_names
    • ModelMetadata.nfold
  • Model
    • Model.save()
    • Model.load()
    • Model.evaluate()
    • Model.infer()
    • Model.infer_oof()
    • Model.infers_to_labels()
  • train()
  • load()
• pytoolkit.tablurs module
  • load_labeled_data()
  • load_unlabeled_data()
  • remove_correlated()
  • detect_correlated()

Module contents

API。