Muffnn

Added

- Python 2.7 compatibility (57).
- Added a `monitor` keyword to the autoencoder (58).
- Added a factorization machine classifier (50).

Changed

- Moved to Travis instead of CircleCI (57).
- Upgraded to TensorFlow 1.3.X.
- Upgraded to numpy 1.13.1.
- Upgraded to scipy 0.19.1.
- Upgraded to scikit-learn 0.19.0.
- Upgraded to python 3.6.2.
- Upgraded requirements to match python 2 properly (59).

Fixed

- Hid slow import of `tf.contrib` (54).

Changed

- Upgraded to TensorFlow 1.1.X.

Fixed

- Fixed bug in grid search over solver settings.
- Fixed bug in `classes_` attribute for multilabel MLP problems.

Fixed

- Added `MANIFEST.in` to fix python packaging bug.

Added

- Add ability to set the solver and its parameters for the `MLPClassifier` and `MLPRegressor`.

Changed

- Removed Docker build.
- Added `install_requires` to `setup.py`.
- Updated tests of MLP base class to silence `pytest` warning.

Fixed

- Fixed `score` method for multilabel classification.

Changed

- Upgraded to TensorFlow 1.0.0.

Added

- Add an autencoder implementation.
- Add optional monitor functionality for MLP classes, for logging, early
stopping, checkpointing, etc.
- Add top-level base class for pickling TensorFlow models.
- Add partial fitting functionality for the MLP.
- Add support for missing labels during multilabel classification.

Changed

- Make sparse input more efficient in MLP classes.
- Stop adding dropout nodes to MLP graphs if `keep_prob` is 1.
- Change `dropout` keyword argument to `keep_prob` for consistency with
TensorFlow.
- Updated dependencies (notably, scikit-learn and TensorFlow).

Fixed

- `LabelEncoder` in the MLPClassifier is pickled properly.
- Fix multilabel classification, which was broken previously.