81b4ba5f20
v0.9.0: Highlights loo-pit KDE and HDI were improved html_repr of InferenceData objects for jupyter notebooks Support for PyJAGS from_pymc3 automatically retrieves coords and dims from model context plot_trace now supports multiple aesthetics to identify chain and variable shape and supports matplotlib aliases plot_hdi can now take already computed HDI values Deprecations from_pymc3 without a model context available raises aFutureWarning and will be deprecated in a future version In plot_trace, chain_prop and compact_prop as tuples will now raise a FutureWarning hdi with 2d data raises a FutureWarning
6 lines
397 B
Text
6 lines
397 B
Text
$NetBSD: distinfo,v 1.3 2020/07/01 16:03:59 adam Exp $
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SHA1 (arviz-0.9.0.tar.gz) = 01268d658953ef91018c9a0fcd75d6e17577d212
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RMD160 (arviz-0.9.0.tar.gz) = 37af60260a8682c83f174b6eae1a3cc98e049599
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SHA512 (arviz-0.9.0.tar.gz) = 70bf850e2ca2e15c18f5cdf738a2021fc4281ffcef1e04121bc241d912180a5b26cff69342b950ec2321183aa93460ee4dfbaab9ad6d0481be499e6ffd12a5ac
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Size (arviz-0.9.0.tar.gz) = 1435491 bytes
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