* initial attempt at sphinx
* moving from shell script to just single command in yml
* adding make command, deleting sh
* ignoreing website/sphinx/_build/
* fixed missing hb prefix. testing out pipeline that will fail so hard
* fixing readme
* excluding web files from coverage. fixingdeps
* inner makefile
* adding secret for gh-pages for deploy
* using makefile
* changing subfolder to push
* excluding web files from coverage. fixingdeps
* fixing broken link, fixing doc tree depth
* purging pdoc
* initial upload
* dev branch workflow
* Update README.md
* starting to setup coverage
* flake err cleanup
* deleted more unused code
* can't find a good githubactions coverage
* can't find a good githubactions coverage
* bug fixes
* consolidating tests
* XGB Regressor is failing
* commiting lgbm regressor tests
* using params
* fixing lgbm max_depth bug
* better test output. TODO: fix the max_depth for lgbm and xgb to not fall through to None, need to compute
* adding failure case test. TODO: why does RF not have extra_config in regressor
* pinning to xgboost .90 for now
* refactoring tree's extra_config for xgb and lgbm
* fixing reversed param
* adding gbdt test file
* refactoring beam params functions
* making all beam params as numpy
* increasing coverege by shifting label starts and by deleting unused model.infer_initial_types()
* extra config for rf reg
* flake8
* more error testing
* using onnxconverter types instead of copypaste
* more consolidation
* more test coverage
* first step in refactor
* cleaning up batch params
* adding beam++ to node size 1 test
* there is a bug, documenting
* renaming trees to match paper
* test
* adding precommit hooks
* README.md
* readme update
* commit hooks
* Fixing badge link to be relative
* notebook for demo
* notebook for demo
* notebook params change
* reveriting 2c95f488a4 and reopening issue #9; this solution is too clunky
* bumping pyt req
* Fix pytorch requirements
* Fix to brackets for alpha in xgboost
* Few minor fixes to comments in tests
* Removed unecessary regression tests
* Add binary classification tests for gemm, tree_trav and perf_tree_trav
* Fixes to whitespaces
* updating readme
* filling out contrib section
* expanding readme example so that (1) it actually runs (2) it actually does a thing
* cleaning notebook example
* Fix to typo and update to the requirements
* Fix to flake8 errors
* readme changes from this morning
* changes based on feedback
* Few edits to contributing
* Few edits in the README file
* fixing mailto: syntax
* Remove initial_types from the converter API
* Rename Skl2PyTorch container into HBPyTorch
* Add convert_xgboost and convert_lightgbm API
* Fix to spacing
* remove pandas check (for the moment)
* fix import
* Fix readme to use the new API
* removed common directory
* add some documentation
* renamed few things
* code refactoring for trees
* refactor lightgbm and xgboost by moving stuff into gbdt_commons
* done with a pass on gbdt after moving everything to _gbdt_common
* final refactoring of gbdt classes
* rename random forest stuff into decision tree
* major refactoring for tree implementations
* some renaming here and there
* minor fix
* Add test to validate that issue #7 is closed.
* import container stuff from onnx-common
* fix the parser to use the topology in onnx-common
* remove unnecessary files
* address first chunk of Karla's comments
* fix typo in calibration
* Another round of comments addressed
* fix typo
* these two lines seem unnecessary
* moving notebooks from broken branch
* adding notebooks with new API changes
* removing comment
* removed few unnecessary code and edited some documentation
* Update CONTRIBUTING.md
* remove . from git clone
* Final pass over non-converters files documentation / API
* add constants for converters
* simplify a bit the API by using extra_config for optional parameters
* Update CONTRIBUTING.md
* done with documentation over public classes , methods
* add contants and extra config management
* addressing Karla's comments
* pip install pdoc; pdoc --html hummingbird
* pdoc3, using overrides to get extra doc if we want it
* add few tests to check that we actually pick the correct implementation
* Update README.md
* Reformat doc
* add HB logo to readme file
* Add HB logo in doc
* add assertion on model being not None
Co-authored-by: Karla Saur <karla.saur@microsoft.com>
Co-authored-by: Matteo Interlandi <mainterl@microsoft.com>
Karla Saur