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base repository: oyck1999-1018/pymc-examples
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  • 20 commits
  • 168 files changed
  • 10 contributors

Commits on Jan 17, 2025

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Commits on Feb 5, 2025

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Commits on Feb 12, 2025

  1. Fixed minibatching in NN notebook (pymc-devs#773)

    * Fixed minibatching in NN notebook
    
    * Updated text on prediction
    
    * Updated text on prediction
    fonnesbeck authored Feb 12, 2025
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Commits on Feb 17, 2025

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Commits on Feb 18, 2025

  1. minor update: pathfinder notebook (pymc-devs#774)

    * minor update to current notebook
    
    * pathfinder: Update notebook to reflect Pathfinder upgrades in pymc-extras>=0.2.2
    
    - Add NUTS sampling results for comparison
    - Set  for better comparison of Pathfinder and NUTS
    aphc14 authored Feb 18, 2025
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  2. Normalize some tags and fix typos (pymc-devs#772)

    * Normalize tags
    
    * Fix typos
    Armavica authored Feb 18, 2025
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  3. Add Dustin Stansbury's statistical rethinking notebooks pymc-devs#754 (

    …pymc-devs#770)
    
    * Statistical rethinking lecture notebooks
    
    * Add Statistical Rethinking Lectures to thumbnail generator
    
    * Remove pixi.lock
    
    * PyMC5 -> PyMC; add pixi.lock to .gitignore
    
    * Spelling errors
    fonnesbeck authored Feb 18, 2025
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Commits on Feb 20, 2025

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Commits on Feb 21, 2025

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Commits on Mar 11, 2025

  1. Update BART Hawks NBs with new plots (pymc-devs#775)

    * Improve BART categorical with new plots
    
    * remove autoreload cell
    
    * Use func for softmax
    
    * handle func upstream
    AlexAndorra authored Mar 11, 2025
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Commits on Mar 13, 2025

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Commits on Mar 24, 2025

  1. Updating Discrete choice issue to fix parameter identification issue (p…

    …ymc-devs#781)
    
    * Updating Discrete choice issue to fix parameter identification issue
    
    Signed-off-by: Nathaniel <[email protected]>
    
    * running pre-commit checks
    
    Signed-off-by: Nathaniel <[email protected]>
    
    * add warning about encoding of the categorical outcome
    
    Signed-off-by: Nathaniel <[email protected]>
    
    * enforcing correct encoding on the crackers model
    
    Signed-off-by: Nathaniel <[email protected]>
    
    * enforcing correct encoding on the crackers model
    
    Signed-off-by: Nathaniel <[email protected]>
    
    ---------
    
    Signed-off-by: Nathaniel <[email protected]>
    NathanielF authored Mar 24, 2025
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Commits on Apr 6, 2025

  1. Enforce positivity on sigmas in SEM model (pymc-devs#783)

    * enforce positivity on sigmas in SEM model
    
    Signed-off-by: Nathaniel <[email protected]>
    
    * remove redundant advi argument
    
    Signed-off-by: Nathaniel <[email protected]>
    
    * updating with chris's feedback
    
    Signed-off-by: Nathaniel <[email protected]>
    
    ---------
    
    Signed-off-by: Nathaniel <[email protected]>
    NathanielF authored Apr 6, 2025
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Commits on Apr 15, 2025

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Commits on Apr 16, 2025

  1. Coregion model notebook fix (pymc-devs#786)

    * Added bokeh to pixi
    
    * Update coregion model notebook
    
    * Removed cruft
    
    * Updated pre-commit action version
    
    * Updated pre-commit action version
    fonnesbeck authored Apr 16, 2025
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Commits on Apr 21, 2025

  1. Fixed incorrect title (pymc-devs#789)

    * Fixed incorrect title
    
    * Typo
    fonnesbeck authored Apr 21, 2025
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Commits on May 9, 2025

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Commits on May 12, 2025

  1. Update theme (pymc-devs#792)

    * update theme
    
    * configure search and use pypi release
    OriolAbril authored May 12, 2025
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Commits on Jun 20, 2025

  1. Bayesian workflow example (pymc-devs#797)

    * Bayesian workflow example
    
    * Edits in response to reviews
    
    * Set plotly renderer to sphinx gallery
    
    * Trying to get plotly to work
    
    * Several visual fixes
    
    * Removed semicolon blocking plot
    fonnesbeck authored Jun 20, 2025
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Commits on Jul 2, 2025

  1. StateSpace Module Hurricane Case Study ~~WIP~~ Ready for Review (pymc…

    …-devs#763)
    
    * StateSpace Module Hurricane Case Study WIP
    
    * attempt to fix plot rendering on ReviewNB
    
    * attempt to fix plot rendering on ReviewNB try jupyterlab renderer
    
    * attempt to fix plot rendering on ReviewNB try notebook renderer
    
    * 1. Made changes in accordance to reviewer comments
    2. Improved 24-hour ahead forecasts of simplest model
    3. Added a section and model with how to add exogenous variables to the model
    
    * 1. added forecast to exogenous variables section
    2. cleaned up typos and figure sizes/zoom
    
    * 1. updated the exogenous covariates section
    2. Added a non-linear B-Splines section
    
    * 1. Added text to spline section
    2. Added closing remarks section
    3. Updated references bib file
    
    * 1. fixed typos, latex errors, and improved readability of text
    2. Restructured function docstrings to comply with numpy's guidestyle
    3. Added ODE derivation of Newtonian equations of motion
    4. Added legend to origins scatterplot
    5. Fixed issue with passing in future covariates into exogenous model when forecasting
    6. Added model evaluations and comparisons
    7. Fixed issue with diffuse initialization of P0
    
    * updated notebook removing exogenous forecasts hack
    
    * made some figures static to reduce file size
    
    * 1. updated docstring indentation
    2. updated generate forecast utility
    3. updated how mode=JAX is specified
    4. renamed simple model to Newtonian model
    5. added explanations to exogenous data duplicating and mirroring
    6. added note on how the newtonian model differs from typical parameteric models
    
    * attempt to fix latex rendering
    
    * missed spot in cleaning up latex
    
    * updated equation number to attempt to fix latex rendering
    
    * removed equation numbering
    
    * fixed broken reference in closing remarks
    
    * updated headers. Only one H1 header in notebook
    
    * updated authoring dates and fixed missed h3 header
    
    * made change to utilize conditional posteriors for predictive state means and covariances. Updated plotly setting to automatically select renderer
    
    * Revert "made change to utilize conditional posteriors for predictive state means and covariances. Updated plotly setting to automatically select renderer"
    
    This reverts commit 07355d2.
    
    Revert using conditional posterior to using save_kalman_filter_outputs_in_idata
    
    * try mimetype plotly renderer
    
    * try sphinx_gallery plotly renderer
    
    * try modifying javascript to render correctly
    
    * try disabling plotly mathjax
    
    * try iframe renderer
    
    * changed plotly to static rendering
    
    * fixed inconsistency where transition matrix was sometimes referred to with A and sometimes with T to only being referred to using T
    
    * try remove-cell tag to change thumbnail
    Dekermanjian authored Jul 2, 2025
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