lale.lib.lale package

Submodules

• lale.lib.lale.auto_pipeline module
  • AutoPipeline
    • AutoPipeline.fit()
    • AutoPipeline.predict()
  • auto_gbt()
  • auto_prep()
• lale.lib.lale.both module
  • Both
    • Both.fit()
    • Both.predict()
    • Both.predict_proba()
    • Both.transform()
• lale.lib.lale.concat_features module
• lale.lib.lale.grid_search_cv module
  • GridSearchCV
    • GridSearchCV.fit()
    • GridSearchCV.predict()
• lale.lib.lale.halving_grid_search_cv module
  • HalvingGridSearchCV
    • HalvingGridSearchCV.fit()
    • HalvingGridSearchCV.predict()
• lale.lib.lale.hyperopt module
  • Hyperopt
    • Hyperopt.fit()
    • Hyperopt.predict()
• lale.lib.lale.identity_wrapper module
  • IdentityWrapper
    • IdentityWrapper.fit()
    • IdentityWrapper.predict()
    • IdentityWrapper.predict_proba()
    • IdentityWrapper.transform()
• lale.lib.lale.no_op module
  • NoOp
    • NoOp.transform()
• lale.lib.lale.observing module
  • LoggingObserver
  • Observing
    • Observing.fit()
    • Observing.predict()
    • Observing.predict_proba()
    • Observing.transform()
  • observe()
• lale.lib.lale.optimize_last module
  • OptimizeLast
    • OptimizeLast.fit()
    • OptimizeLast.predict()
• lale.lib.lale.optimize_suffix module
  • OptimizeSuffix
    • OptimizeSuffix.fit()
    • OptimizeSuffix.predict()
• lale.lib.lale.sample_based_voting module
  • SampleBasedVoting
    • SampleBasedVoting.transform()
• lale.lib.lale.smac module
  • SMAC
    • SMAC.fit()
    • SMAC.predict()
• lale.lib.lale.tee module
  • Tee
    • Tee.transform()
• lale.lib.lale.time_series_transformer module
  • CorrelationMatrix
    • CorrelationMatrix.apply()
    • CorrelationMatrix.get_name()
  • Eigenvalues
    • Eigenvalues.apply()
    • Eigenvalues.get_name()
  • FFT
    • FFT.apply()
    • FFT.get_name()
  • FFTWithTimeFreqCorrelation
    • FFTWithTimeFreqCorrelation.apply()
    • FFTWithTimeFreqCorrelation.get_name()
  • FreqCorrelation
    • FreqCorrelation.apply()
    • FreqCorrelation.get_name()
  • Log10
    • Log10.apply()
    • Log10.get_name()
  • Magnitude
    • Magnitude.apply()
    • Magnitude.get_name()
  • Pipeline
    • Pipeline.apply()
    • Pipeline.get_name()
  • Resample
    • Resample.apply()
    • Resample.get_name()
  • Slice
    • Slice.apply()
    • Slice.get_name()
  • StandardizeFirst
    • StandardizeFirst.apply()
    • StandardizeFirst.get_name()
  • StandardizeLast
    • StandardizeLast.apply()
    • StandardizeLast.get_name()
  • TimeCorrelation
    • TimeCorrelation.apply()
    • TimeCorrelation.get_name()
  • TimeFreqEigenVectors
    • TimeFreqEigenVectors.transform()
  • seizure_type_data
    • seizure_type_data.data
    • seizure_type_data.seizure_type
  • upper_right_triangle()
• lale.lib.lale.topk_voting_classifier module
  • TopKVotingClassifier
    • TopKVotingClassifier.fit()
    • TopKVotingClassifier.predict()

Module contents

Lale operators with schemas.

Operators

Estimators:

• lale.lib.lale. AutoPipeline

• lale.lib.lale. GridSearchCV

• lale.lib.lale. HalvingGridSearchCV

• lale.lib.lale. Hyperopt

• lale.lib.lale. OptimizeLast

• lale.lib.lale. OptimizeSuffix

• lale.lib.lale. SMAC

• lale.lib.lale. TopKVotingClassifier

Transformers:

• lale.lib.rasl. Aggregate

• lale.lib.rasl. Alias

• lale.lib.rasl. Batching

• lale.lib.rasl. ConcatFeatures

• lale.lib.rasl. Filter

• lale.lib.rasl. GroupBy

• lale.lib.rasl. Join

• lale.lib.rasl. Map

• lale.lib.lale. NoOp

• lale.lib.rasl. OrderBy

• lale.lib.rasl. Project

• lale.lib.rasl. Relational

• lale.lib.lale. SampleBasedVoting

• lale.lib.rasl. Scan

• lale.lib.rasl. SplitXy

• lale.lib.lale. Tee

Estimators and transformers:

• lale.lib.lale. Both

• lale.lib.lale. IdentityWrapper

• lale.lib.lale. Observing

Functions:

• lale.lib.lale. categorical

• lale.lib.lale. date_time

• SparkExplainer. spark_explainer