v2.5.1

This fixes a bug where df.get would not compile correctly in the face of changes to the data tree.

v2.5.0

What's Changed

• adds processor for df.get(xxx) notation
• adds streaming data
• logit models are maskable (only a subset of rows are evaluated)
• when converting dataframe to dataset, duplicate column names are generally not allowed, but if column data is identical then the duplicate column is dropped (this compatibility comes at a cost of some performance and should be avoided if possible)
• code now emits CacheMissWarning when compile is triggered, this is totally normal and expected on the first pass to compile things, but can give useful information when a function is unexpectedly recompiled (e.g. due to an accidental difference in input dtypes)
• intermediate functions are no longer cached, reducing the cache footprint on disk with no impact on performance
• ast processing now completes a first pass on each expression with each subspace before cascading down to fallback subspaces, this permits more complex expressions to complete
• implements nested logit, mnl_draws function name changed to logit_draw.
• no longer tested for compatibility with Python 3.7 (google colab updated to 3.8)

Full Changelog: v2.4.0...v2.5.0

v2.4.0

What's Changed

• Fix bitwise operations by @jpn-- in #31

Full Changelog: v2.3.2...v2.4.0

v2.3.2

What's Changed

• Support for .isna() by @jpn-- in #30

Full Changelog: v2.3.1...v2.3.2

v2.3.1

What's Changed

• Nested np.where by @jpn-- in #29

Full Changelog: v2.3.0...v2.3.1

v2.3.0

What's Changed

• Aux Vars by @jpn-- in #28

Full Changelog: V2.2.4...v2.3.0

v2.2.4

What's Changed

• Fix OMX construction with arbitrary zone ids by @jpn-- in #27

Full Changelog: v2.2.3...V2.2.4

v2.2.3

What's Changed

• Fixes for 2 and 3 zone systems by @jpn-- in #26

Full Changelog: v2.2.2...v2.2.3

Sparse Arrays

Initial support for sparse arrays

fixes a bug in the automated documentation build

v2.1.0: Allow constant slices into missing dims

What's Changed

• Enhancements for ARC example model by @jpn-- in #8
  • Ability to reference time-dim via a tuple-slice of skims
  • replacement filter service
  • assume object arrays are unicode strings with valid "==" semantics
  • isin method
  • don't fall back to variable names from other subspaces when targeting a named subspace

Full Changelog: v2.0.2...v2.1.0