This repository has been archived by the owner on Jun 22, 2022. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 32
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
kamil-kaczmarek
pushed a commit
that referenced
this pull request
May 23, 2018
* initial * cleaned up * updates keras models and callbacks * added explanation notebook * renamed notebook * ran notebook * transformer loading now to be clicked * dropped nlp * fixed typos * updated whats missing * updated with dsb and talking data * added simple pipeline notebook * imports optimized * feature_names=None and categorical_features=None * refactor the way the model parameters are passed * moved adapters to seperate file, renamed identity/take_first adapters * Update misc.py * fit_transform -> transform * Update base.py * fixed #10 * fixed typo * * added: get_upsample_pad, get_downsample_pad * added: multiclass_segmentation_loss * *warning added * Add some user interface messages * Notebook#3: Adapter for ensembling * Add example: 1-getting-started.ipynb * Remove custom adapter; other minor changes after reviewer feedback * Add example 2-multi-step.ipynb and some minor changes to example 1-getting-started.ipynb * Cleanup of examples 1 and 2 * Fix a mistake in notebook text * Add steps/__pycache__ to .gitignore * Further changes based on Github feedback * add self.conv_stride parameter in unet definition * Change steps/__pycache__ to *.pyc in .gitignore * Changes in Notebook#3 following code review * train forests on train data and ensembler on ensembling data * decoupled sklearn preprocessing from text preprocessing with heavy de… (#32) * decoupled sklearn preprocessing from text preprocessing with heavy dependencies * fixed import error * dropped anonymization from text.py, reformatted imports, small refactors * small refactor for readability * Change time format (#40) * Dev docstrings (#33) * 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 * Notebook #5: Example with Keras (#41) * Notebook #5: Example with Keras * Corrected notebook for Keras and necessary refactors in ClassifierGenerator * Fix issue #28: Unintuitive adapter syntax (#42) * 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 * Issue #16: make_transformer (#50) * Corrections and tests for Sklearn wrappers * make_transformer taking arbitrary functions * fix issues #48 and #49 (#52) * fix issues #48 and #49 * use of setdefault method * fix according to Kamil's request * Fix post merge issues * Prepare package (#58) * 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 * Create README.md
Merged
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.