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Replacing PyMC3 plots w/ Arviz plots & sigma Param change [Part 9] #21
Replacing PyMC3 plots w/ Arviz plots & sigma Param change [Part 9] #21
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
@@ -18,11 +18,13 @@ | |||
"name": "stdout", |
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This is probably right, we improved the kde a couple releases back, the original implementation was too smoothing and did quite a bad job for multimodal and mixture distributions. The PR with the changes has some comparisons: https://github.com/arviz-devs/arviz/pull/1284
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Sounds great, thanks for the reference. Updated arviz dependency now combines the two into 1 graph.
@@ -18,11 +18,13 @@ | |||
"name": "stdout", |
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Done!
Note:
There was an update for the sns.kdeplot
plot functionality, and created an error.
I went ahead and provided the same visualization by creating the 100x2 array into a DataFrame, and specified index in kdeplot
params.
Rephrase to reflect maturation of the project
Description
The following is a large PR breakdown of PR #16.
Replace PyMC3 dependent plots with arviz plots in case studies & examples.
Replace parameter
sd
withsigma
(e.g. some examples havepm.Normal(...sd=...)