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@github-actions github-actions released this 30 Aug 14:52
· 21 commits to refs/heads/master since this release
v0.6.0
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Changes

Wiki

  • Brand New! Created with mkdocs-material: sapsan-wiki.github.io
    • Powerful search function
    • Redesigned API
    • Improved navigation
    • Versioning
    • Dark mode: automatically adjusts based on system preferences
    • Wiki on Github has been depreciated

Estimators

  • Significant improvements to the PIMLturb estimator

    • cleaned up redundancies improving the performance
      and readability
    • generalized the approach to calculate CDF and KS loss
      • now works with the 1D CCSN calculations
      • should be consistent no matter the scale of the data
    • added ks_frac, ks_scale, l1_scale, l1_beta, sigma to be adjusted upon calling the estimator
    • scientific notation for PIMLturb loss stdout
    • Fixed SmoothL1_KSLoss train/valid output
    • PIMLturb now logs the model, optimizer, and scheduler parameters through MLflow

GUI

  • Updated GUI examples, adding compatibility with streamlit=1.12.0

    • significant improvements to UI through st.expander

  • Converted GUI to use st.session_state for all widgets

    • that fixed config reloading
    • included minor quality of life features
    • significantly reduced the complexity of the code

  • Fixed: editing the model code with jupyter notebooks

  • Added:

    • progress bar
    • slice plots
    • Dark Mode

CLI

  • Lighter init, improved CLI speed x3

    • Affected syntax:
      • Past: from sapsan import Train, Evaluate
      • New: from sapsan.lib import Train, Evaluate

  • Fixed: paths with CLI commands

Examples

  • Examples now include output
  • Updated sample data for picae
    • randomly sampled from a normal distribution
  • Returned FakeBackend()
    • makes it easier to disable logging everywhere in one line
  • Cleaned up Examples to be up-to-date on comments

Plotting

  • Beautified colormap bar
    • always equals to the size of the plot itself
    • slimmed down
  • Added: dpi parameter to plot functions
    • Default: dpi=60 for all to avoid 'ballooning' in small margin jupyter notebooks
  • Added: cdf_plot(), an exception if value ranges don't overlap, hence KS stat cannot be calculated

MLflow

  • Train will try to log forward() of your model
    • no longer Catalyst exclusive
    • won't cause an error with scikit-learn

Compatibility

  • Added: python=3.9 and 3.10 support
  • streamlit==0.84.0 -> streamlit>=1.12.0
    • major improvements
    • not backward compatible

Other

  • README: added shields.io badges to track sapsan and compatible python versions
  • Fixed setuptool installation: python setup.py install
  • Github Workflow updates and improvements. Added tests for PyPI, CLI, python 3.9, 3.10
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