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Version 3 Soft Release #382
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examples/measure_methods/fromFile_ADCIRCMap/BET_plotDomains2D.py
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examples/measure_methods/fromFile_ADCIRCMap/BET_plotDomains3D.py
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examples/measure_methods/nonlinearMap/BET_nonlinearMapUniformSampling.py
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examples/measure_methods/linearMap/BET_linearMapUniformSampling.py
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As a general comment in relation to something Michael brought up, I agree that the plotting file-extensions should all be .png for the examples. Better for anyone using this in windows. |
examples/measure_methods/nonlinearMap_estimate_error/BET_nonlinearMapUniformSampling.py
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Co-authored-by: Troy Butler <[email protected]>
Co-authored-by: Troy Butler <[email protected]>
Handled in #393 |
Updates from review and conversations
Updates from review
@eecsu Should be ready for you to look at |
@eecsu See af59f09...03e52c0 for a diff between the current version of the branch and the last commit before your review. |
This PR contains all of the updates for the soft release of version 3.0. This PR, mostly maintains backward compatibility with version 2.0, but it is not guaranteed, especially in cases of saving and loading.
Major attributes are:
bet.sample.sample_set_base
objects. Densities can be defined by Voronoi tessellations, random variables with certain statistics, Gaussian mixture models, Gaussians, or weighted Kernel Density Estimates.bet.calculateP.calculateR
.BET_
.bet.sampling.adaptiveSampling
is completely removed. Closes Deprecate adaptive sampling? #366.bet.sampling.basicSampling
is completely overhauled to handle any type of random variable of typescipy.stats.rv_continuous
. Closes sampler class options #362.save_object
andload_object
functions inbet.util
. Closes why no pickle? #360.pytest
. Closes nose deprecation #364.bet.postProcess.compareP
is overhauled with new functionality and support for many types of sets. Comparison of marginals is added.pip
. Closes How we do installs #356. Versions for requirements are enforced and worked. Closes TODO: un-lock scipy #357.LUQ
is added withbet.sampling.useLUQ
.LUQ
-type cluster data structures are supported for density-based inversion.compute_QoI_and_create_discretization
deprecated. Going forward usecompute_qoi_and_create_discretization
.