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Overview

  • modAL in a nutshell
  • Installation
  • Extending modAL
  • Contributing

Models

  • ActiveLearner
  • BayesianOptimizer
  • Committee
  • CommitteeRegressor

Query strategies

  • Acquisition functions
  • Uncertainty sampling
  • Disagreement sampling
  • Ranked batch-mode sampling
  • Information density

Examples

  • Interactive labeling with Jupyter
  • Pool-based sampling
  • Ranked batch-mode sampling
  • Stream-based sampling
  • Active regression
  • Ensemble regression
  • Bayesian optimization
  • Query by committee
  • Bootstrapping and bagging
  • Keras models in modAL workflows
  • Pytorch models in modAL workflows

API reference

  • modAL.models
  • modAL.uncertainty
  • modAL.disagreement
  • modAL.multilabel
  • modAL.expected_error
  • modAL.acquisition
  • modAL.batch
  • modAL.density
  • modAL.utils
modAL
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