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preparing pip installable codebase #59
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refactor the way the model parameters are passed
moved adapters to seperate file, renamed identity/take_first adapters
fit_transform -> transform
* added: multiclass_segmentation_loss
Add examples: 1-getting-started.ipynb and 2-multi-step.ipynb
Some UNet improvements and CrossEntropyLoss() added
Notebook#3: Adapter for ensembling
#32) * decoupled sklearn preprocessing from text preprocessing with heavy dependencies * fixed import error * dropped anonymization from text.py, reformatted imports, small refactors
* Step halfway done * Step init args done * Steps docstrings done * added docstrings to Step properties * Step docstring done * dropped mock transformer addeed docstrings to Base and Dummy Transformers * base documentation finished, minor refactors * docstrings added to adapters * docstrings added * started refactoring lgbm * Update base.py * updated docstrings * base transformer docstring fix * fixed logging docstrings
* Write tests for new adapter syntax * Refactor adapter * Improve handling of caches and logs in tests * Fix minor issues mentioned in PR comments * Rewrite tests in pytest framework * Move adapting to seperate class, alter behaviour * Correction: mutable object as default argument in Step initializer
Fix post merge issues
* Remove tutorial notebooks * Remove modules with heavy dependencies * Rename steps -> steppy * Add setup.py * Tell git to ignore egg files * Read the docs might output of sphinx-quickstart * Requirements file * Try adding sphinx-apidoc output * Add some requirements * Add IPython to requirements * removed intro.ipynb and updated requirements.txt * corrected setup.py * refactored NoOperation to IdentityOperation, optimized inputs * moved misc.py to steppy-toolkit * simplified ProbabilityCalibation, BaseTransformer small refactor * prepare setup.py and setup.cfg for PyPI registration * added install requires to setup.py * name refactor
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