muffnn

scikit-learn-compatible neural network models implemented in TensorFlow

Installation

This package currently supports Python 3.6 and 3.7.

Installation with pip is recommended:

pip install muffnn

You can install the dependencies via:

pip install -r requirements.txt

If you have trouble installing TensorFlow, see this page for more details.

For development, a few additional dependencies are needed:

pip install -r dev-requirements.txt

Usage

Each estimator in the code follows the scikit-learn API. Thus usage follows the scikit-learn conventions:

from muffnn import MLPClassifier

X, y = load_some_data()

mlp = MLPClassifier()
mlp.fit(X, y)

X_new = load_some_unlabeled_data()
y_pred = mlp.predict(X_new)

Further, serialization of the TensorFlow graph and data is handled automatically when the object is pickled:

import pickle

with open('est.pkl', 'wb') as fp:
    pickle.dump(est, fp)

Contributing

See CONTIBUTING.md for information about contributing to this project.

License

BSD-3

See LICENSE.txt for details.

Release files for muffnn 2.3.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for muffnn 2.3.2
File	Size	Uploaded
muffnn-2.3.2.tar.gz	45.2 kB	Dec 3, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for muffnn 2.3.2
File	Interpreter	ABI	Platform	Reset
muffnn-2.3.2-py3-none-any.whl 59.8 kB Dec 3, 2020	Python 3	none	any	Details

Total release size: 105.1 kB

Release files / muffnn-2.3.2.tar.gz

Download URL	muffnn-2.3.2.tar.gz
Size	45.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`d5448b9cdb148b9039be737584423491dd8fc128f6c1838d9b57b5d4702acfca`
BLAKE2b-256 checksum How to use checksums	`4491000f734fb1f2b9738086e4773f4cfcb0bd2f60d73d19452cdb8f4b9bde27`
Upload date	Dec 3, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.0`

Release files / muffnn-2.3.2-py3-none-any.whl

Download URL	muffnn-2.3.2-py3-none-any.whl
Size	59.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`d21f1d466e6c0484bffa026fc8b8f63c65426b1e25c50f2cdb6e2b9718ed5378`
BLAKE2b-256 checksum How to use checksums	`275ee741e8d235494b3212eea3f575103c4527e136e4be9540906f61146ae79a`
Upload date	Dec 3, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.0`