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alpbench 0.1.1 documentation

OVERVIEW

  • Installation Guide
  • Quickstart Guide

TUTORIALS

  • Specify and fit an active learning pipeline
  • Evaluating an active learning pipeline using the evaluator
  • Run experiments with py_experimenter

API REFERENCE

  • 📖 API References
    • alpbench.benchmark
      • alpbench.benchmark.ActiveLearningScenario
      • alpbench.benchmark.ActiveLearningSetting
      • alpbench.benchmark.BenchmarkConnector
      • alpbench.benchmark.BenchmarkSuite
      • alpbench.benchmark.Observer
    • alpbench.evaluation
      • alpbench.evaluation.analysis
        • alpbench.evaluation.analysis.get_results
        • alpbench.evaluation.analysis.plot_functions
      • alpbench.evaluation.experimenter
        • alpbench.evaluation.experimenter.DefaultSetup
        • alpbench.evaluation.experimenter.Experimenter
        • alpbench.evaluation.experimenter.LogTableObserver
    • alpbench.pipeline
      • alpbench.pipeline.ALPEvaluator
      • alpbench.pipeline.ActiveLearningPipeline
      • alpbench.pipeline.Initializer
      • alpbench.pipeline.Oracle
      • alpbench.pipeline.QueryStrategy
    • alpbench.util
      • alpbench.util.common
      • alpbench.util.ensemble_constructor
      • alpbench.util.pytorch_tabnet
        • alpbench.util.pytorch_tabnet.abstract_model
        • alpbench.util.pytorch_tabnet.augmentations
        • alpbench.util.pytorch_tabnet.callbacks
        • alpbench.util.pytorch_tabnet.metrics
        • alpbench.util.pytorch_tabnet.multiclass_utils
        • alpbench.util.pytorch_tabnet.multitask
        • alpbench.util.pytorch_tabnet.pretraining
        • alpbench.util.pytorch_tabnet.pretraining_utils
        • alpbench.util.pytorch_tabnet.sparsemax
        • alpbench.util.pytorch_tabnet.tab_model
        • alpbench.util.pytorch_tabnet.tab_network
        • alpbench.util.pytorch_tabnet.utils

BIBLIOGRAPHY

  • 📚 Bibliography
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alpbench.evaluation.analysis¶

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