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4,431 contributions in the last year
Contribution activity
October 2020
- harupy/blackdoc Python
- harupy/GitPython Python
- harupy/sphinx-plotly-directive Python
- harupy/graphing-library-docs Jupyter Notebook
- harupy/cortex Go
- harupy/examples Rust
- harupy/actix-graphql-react Rust
- harupy/rocket-todo-app Rust
- harupy/kedro-viz JavaScript
- harupy/kedro Python
- harupy/engineer-vocabulary-list
- harupy/mlflow-lab Python
- harupy/mlflow-contrib
Created a pull request in optuna/optuna that received 18 comments
Introduce plotly directive.
Propose a plotly directive which works the same as matplotlib's plot directive.
Motivation Pros:
We can:
remove plot_xxx.py and plot_xxx.html under
- Log torchserve artifacts under `torchserve_artifacts` and log their locations in MLmodel file
- Add pyproject.toml to simplify black command.
- Un-max-pin sqlalchemy
- Fix a bug where `lightgbm.Dataset(None)` fails after running `mlflow.lightgbm.autolog`
- Avoid `gitpython==3.10.0`
- Fix a bug where `xgboost.DMatrix(None)` fails after running `mlflow.xgboost.autolog`
- Revert "Add workflow to add link to doc (#3554)"
- Revert "Add github action to insert link to documentation generated by `build_doc` circle job."
- Update README.rst
- Add github action to insert link to documentation generated by `build_doc` circle job.
- [R] Fix broken h2o archive link
- Add examples for shap integration
- Remove `--keep-going` option when running `sphinx-autobuild` to avoid an error
- Exclude `extra-ml-requirements.txt` from `.dockerignore`
- Remove `attrdict` from dependencies by using `collections.namedtuple` instead
- [R] Create a test conda env in a separate step
- Replace `inspect.getargspec` with `inspect.getfullargspec` to remove deprecated warnings
- Run each flavor test script in a separate pytest session
- Fix `ModuleNotFoundError` in `sklearn.yml` check
- Fix `pytest: command not found` error in `example.yml` check
- update pytest
- TEST
- Un-max-pin sqlparse
- Add `mlflow.shap.log_explanation`
- Fix h2o issue
- Some pull requests not shown.
- Split pages
- Add iframe-width and height options
- Add doctests in utils.py
- Fix assign_last_line_into_variable
- Update pre-code
- Add how to use fig-vars
- Support fig-vars
- support function_name
- remove rcparams
- Make iframe size configurable
- Fix pre code
- Update README
- Update README
- Add config for readthedocs
- Implement main logic
- Add how to develop on README
- Add .circleci/config.yml
- Add circleci config
- Setup lint and test
- Fix path for `store_artifacts` step in `document` CircleCI job
- Add a test to verify `tag_study_user_attrs` for `MLflowCallback` works properly
- Add `matplotlib.plot_optimization_history` figure to doc.
- Add `matplotlib.plot_intermediate_values` figure to doc
- Add a test to verify `nest_trials` for `MLflowCallback` works properly.
- Fix plotly figure iframe paths
- Embed `plot_edf` figure in documentation by using matplotlib plot directive
- Autolog with PyTorch using lightning
- Fix keras 2.4 autolog#3571
- Add docs clarifications for pyfunc flavor in mlflow.sklearn
- Log torchserve artifacts under `torchserve_artifacts` and log their locations in MLmodel file
- Adding support for logging additional artifacts when using mfllow pytorch log and save model
- Logging/Loading TorchScripted model
- Scikit-learn autologging: Exclude feature extraction / selection estimator
- Sklearn autologging: Fix behavior when a child and its parent are both patched
- Add pyproject.toml to simplify black command.
- Fix print method for pyfunc flavor models without run_id and artifact path
- Final part of code snippets for fluent and MlflowClient APIs
- Update setup.py description of project
- Fix a bug where `xgboost.DMatrix(None)` fails after running `mlflow.xgboost.autolog`
- pass `docker_args` in non-synchronous mlflow project runs
- Fixes #3278 Windows backslash json examples
- Add universal mlflow.autolog() function!
- Don't exit immediately on error in lint script
- Revert "Add universal mlflow.autolog() function! (#3498)"
- update R API documentation for `mlflow_register_external_observer()`
- Add universal mlflow.autolog() function!
- Replace use of six.reraise
- Almost remove dependence on six
- Add examples for shap integration
- Remove coding cookies in Python modules
- Add `mlflow.shap.log_explanation`
- Some pull request reviews not shown.