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axtreme 0.1.1
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axtreme 0.1.1

Contents:

  • axtreme
  • Introduction
  • Getting started
  • Basic Concepts
    • Surrogate models:
    • QoI Estimates
    • Design of Experiments (DoE)
  • Example Usecase
  • API Reference
    • axtreme package
      • axtreme.acquisition
        • axtreme.acquisition.qoi_look_ahead
          • QoILookAhead
      • axtreme.data
        • axtreme.data.batch_invariant_sampler
          • BatchInvariantSampler2d
        • axtreme.data.dataset
          • MinimalDataset
        • axtreme.data.fixed_random_sample
          • FixedRandomSampler
        • axtreme.data.importance_dataset
          • ImportanceAddedWrapper
          • ImportanceIndexWrapper
        • axtreme.data.multi_dim_batch_sampler
          • MultiBatchSampler
        • axtreme.data.numpy_file_dataset
          • NumpyFileDataset
        • axtreme.data.sizable_sequential_sample
          • SizableSequentialSampler
      • axtreme.distributions
        • axtreme.distributions.helpers
        • axtreme.distributions.icdf
        • axtreme.distributions.mixture
          • ApproximateMixture
        • axtreme.distributions.utils
      • axtreme.eval
        • axtreme.eval.object_logging
        • axtreme.eval.qoi_helpers
        • axtreme.eval.qoi_job
          • QoIJob
          • QoIJobResult
        • axtreme.eval.utils
      • axtreme.plotting
        • axtreme.plotting.doe
        • axtreme.plotting.gp_fit
        • axtreme.plotting.histogram3d
      • axtreme.qoi
        • axtreme.qoi.gp_bruteforce
          • GPBruteForce
        • axtreme.qoi.marginal_cdf_extrapolation
          • MarginalCDFExtrapolation
        • axtreme.qoi.qoi_estimator
          • QoIEstimator
      • axtreme.sampling
        • axtreme.sampling.base
          • MeanVarPosteriorSampledEstimates
          • PosteriorSampler
        • axtreme.sampling.independent_sampler
          • IndependentMCSampler
        • axtreme.sampling.mean_sampler
          • MeanSampler
        • axtreme.sampling.normal_independent_sampler
          • NormalIndependentSampler
        • axtreme.sampling.ut_sampler
          • UTSampler
      • axtreme.simulator
        • axtreme.simulator.base
          • Simulator
        • axtreme.simulator.utils
      • axtreme.utils
        • axtreme.utils.distibution_helpers
        • axtreme.utils.experiment_utils
        • axtreme.utils.gradient
        • axtreme.utils.logging
        • axtreme.utils.model_helpers
        • axtreme.utils.modelbridge_utils
        • axtreme.utils.numerical_precision
        • axtreme.utils.population_estimators
        • axtreme.utils.transforms
      • axtreme.evaluation
        • EvaluationFunction
        • SimulationPointResults
      • axtreme.experiment
      • axtreme.metrics
        • LocalMetadataMetric
      • axtreme.runner
        • LocalMetadataRunner
  • Technical Details
    • Compatibility with Ax
    • GPBruteforce behaviour w.r.t changes in the underlying model.
  • Glossary
  • Changelog
  • Style Guide
  • LICENSE
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Basic ConceptsΒΆ

The following are core concepts in the axtreme package. A conceptual description is provided below.

Contents:

  • Surrogate models:
    • Uncertainty aware surrogate:
    • Non-Gaussian Noise:
  • QoI Estimates
  • Design of Experiments (DoE)
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Surrogate models:
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Getting started
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