{
"info": {
"author": null,
"author_email": null,
"bugtrack_url": null,
"classifiers": [
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5"
],
"description": ":orphan:\n\nscikit-neuralnetwork\n====================\n\nDeep neural network implementation without the learning cliff! This library implements multi-layer perceptrons as a wrapper for the powerful ``Lasagne`` library that's compatible with ``scikit-learn`` for a more user-friendly and Pythonic interface.\n\n**NOTE**: This project is possible thanks to the `nucl.ai Conference `_ on **July 18-20**. Join us in **Vienna**!\n\n|Documentation Status| |Code Coverage| |License Type| |Project Stars|\n\n----\n\nFeatures\n--------\n\nThanks to the underlying ``Lasagne`` implementation, this library supports the following neural network features, which are exposed in an intuitive and `well documented `_ API:\n\n* **Activation Functions \u2014**\n * Nonlinear: ``Sigmoid``, ``Tanh``, ``Rectifier``.\n * Linear: ``Linear``, ``Gaussian``, ``Softmax``.\n* **Layer Types \u2014** ``Convolution`` (greyscale and color, 2D), ``Dense`` (standard, 1D).\n* **Learning Rules \u2014** ``sgd``, ``momentum``, ``nesterov``, ``adadelta``, ``adagrad``, ``rmsprop``.\n* **Regularization \u2014** ``L1``, ``L2`` and ``dropout``.\n* **Dataset Formats \u2014** ``numpy.ndarray``, ``scipy.sparse``, coming soon: iterators.\n\nIf a feature you need is missing, consider opening a `GitHub Issue `_ with a detailed explanation about the use case and we'll see what we can do.\n\n\nInstallation\n------------\n\nTo download and setup the latest official release, you can do so from PYPI directly::\n\n > pip install scikit-neuralnetwork\n\nThis will install a copy of `Lasagne` too as a dependency. We recommend you use a virtual environment for Python.\n\nThen, you can run the tests using ``nosetests -v sknn``, and other samples or benchmarks are available in the ``examples/`` folder.\n\n\nGetting Started\n---------------\n\nThe library supports both regressors (to estimate continuous outputs from inputs) and classifiers (to predict labels from features). This is the ``sklearn``-compatible API:\n\n.. code:: python\n\n from sknn.mlp import Classifier, Layer\n\n nn = Classifier(\n layers=[\n Layer(\"Rectifier\", units=100),\n Layer(\"Linear\")],\n learning_rate=0.02,\n n_iter=10)\n nn.fit(X_train, y_train)\n\n y_valid = nn.predict(X_valid)\n\n score = nn.score(X_test, y_test)\n\nThe `generated documentation `_ as a standalone page where you can find more information about parameters, as well as examples in the `User Guide `_.\n\n----\n\n|Documentation Status| |Code Coverage| |License Type| |Project Stars|\n\n.. |Documentation Status| image:: https://readthedocs.org/projects/scikit-neuralnetwork/badge/?version=stable\n :target: http://scikit-neuralnetwork.readthedocs.org/en/stable/\n\n.. |Code Coverage| image:: https://coveralls.io/repos/aigamedev/scikit-neuralnetwork/badge.svg?branch=master\n :target: https://coveralls.io/r/aigamedev/scikit-neuralnetwork?branch=master\n\n.. |License Type| image:: https://img.shields.io/badge/license-New%20BSD-blue.svg\n :target: https://github.com/aigamedev/scikit-neuralnetwork/blob/master/LICENSE\n\n.. |Project Stars| image:: https://img.shields.io/github/stars/aigamedev/scikit-neuralnetwork.svg\n :target: https://github.com/aigamedev/scikit-neuralnetwork/stargazers",
"description_content_type": null,
"docs_url": null,
"download_url": null,
"downloads": {
"last_day": -1,
"last_month": -1,
"last_week": -1
},
"home_page": "https://github.com/aigamedev/scikit-neuralnetwork",
"keywords": "deep learning,neural networks",
"license": "BSD 3-clause license",
"maintainer": null,
"maintainer_email": null,
"name": "scikit-neuralnetwork",
"package_url": "https://pypi.org/project/scikit-neuralnetwork/",
"platform": "UNKNOWN",
"project_url": "https://pypi.org/project/scikit-neuralnetwork/",
"project_urls": {
"Homepage": "https://github.com/aigamedev/scikit-neuralnetwork"
},
"release_url": "https://pypi.org/project/scikit-neuralnetwork/0.7/",
"requires_dist": null,
"requires_python": null,
"summary": "Deep neural networks without the learning cliff! A wrapper library compatible with scikit-learn.",
"version": "0.7"
},
"last_serial": 2043718,
"releases": {
"0.1": [
{
"comment_text": "",
"digests": {
"md5": "91ab45eeea2105f66db1fbf18281c700",
"sha256": "b8b67c762851e31c7248f7efae0dab6b5130bf9ec7e229ad79b8ef5d9e72b759"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.1.tar.gz",
"has_sig": false,
"md5_digest": "91ab45eeea2105f66db1fbf18281c700",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 701784,
"upload_time": "2015-05-07T19:09:38",
"url": "https://files.pythonhosted.org/packages/56/6f/70149a218db871bdeb974a07496c30fb19d8ceaec9473ee2a54f17e3f44d/scikit-neuralnetwork-0.1.tar.gz"
}
],
"0.2": [
{
"comment_text": "",
"digests": {
"md5": "9cb01087938653c8adf35332b8976fdd",
"sha256": "2d0d767bbfebfad26f2e19c48718ab4ed49f667cc85b807c45bbee4e88a5f841"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.2.tar.gz",
"has_sig": false,
"md5_digest": "9cb01087938653c8adf35332b8976fdd",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 709162,
"upload_time": "2015-05-23T20:38:49",
"url": "https://files.pythonhosted.org/packages/78/cc/021965bc0bd52c695fb87aa5c444ff2c45f5cd1a0b8103df66987d83b201/scikit-neuralnetwork-0.2.tar.gz"
}
],
"0.3": [
{
"comment_text": "",
"digests": {
"md5": "ae435ca787c10f4fa3deff3bbc48a79c",
"sha256": "18a53b0b013c06fe042dd8333186a4c7a08e035d9451dad4ef45179e163f4a8e"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.3.tar.gz",
"has_sig": false,
"md5_digest": "ae435ca787c10f4fa3deff3bbc48a79c",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 715516,
"upload_time": "2015-06-24T21:08:44",
"url": "https://files.pythonhosted.org/packages/7c/d1/600c2b33ecc972ebdf559b9ebc144ba1fb8422bb99d7a3685222fb5af664/scikit-neuralnetwork-0.3.tar.gz"
}
],
"0.4": [
{
"comment_text": "",
"digests": {
"md5": "0efdabd6916e735b133538428520adad",
"sha256": "bd7cc617458bbca285185390e12f99d270ac73d9134b6385ea49666b8c886530"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.4.tar.gz",
"has_sig": false,
"md5_digest": "0efdabd6916e735b133538428520adad",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 716931,
"upload_time": "2015-11-17T20:04:44",
"url": "https://files.pythonhosted.org/packages/10/ee/fa80ff86e902a0480b4151d1ffc9a88755b4d712c32ffe86705678f065ac/scikit-neuralnetwork-0.4.tar.gz"
}
],
"0.5": [
{
"comment_text": "",
"digests": {
"md5": "26bb4985ed79ebbe0756eae62e19b8d4",
"sha256": "da05e037abfb0e6194fb13b43d9e5a7a2953b9fe43297e27c5ce6076b3637910"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.5.tar.gz",
"has_sig": false,
"md5_digest": "26bb4985ed79ebbe0756eae62e19b8d4",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 29992,
"upload_time": "2015-12-20T19:51:41",
"url": "https://files.pythonhosted.org/packages/f5/e5/509dab93b7304ada7e8f2609aec6d1e9ae38ecde65e5f971bc75b1236d3a/scikit-neuralnetwork-0.5.tar.gz"
}
],
"0.6": [
{
"comment_text": "",
"digests": {
"md5": "cda81bb06ff9c666a06417944b5eb6f6",
"sha256": "785739040dd83a646b327a47fcbffbcaf1e037c7e47e6b9a566e0c20e0461fa7"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.6.tar.gz",
"has_sig": false,
"md5_digest": "cda81bb06ff9c666a06417944b5eb6f6",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 30300,
"upload_time": "2016-01-01T16:30:14",
"url": "https://files.pythonhosted.org/packages/0c/4e/01920ab4aa03b140829094d8dc44060fac0d614e773d9afa1a9f4a30a590/scikit-neuralnetwork-0.6.tar.gz"
}
],
"0.6.1": [
{
"comment_text": "",
"digests": {
"md5": "601b2ca2f3093f439c1ebe24711562e1",
"sha256": "31f0d9f1a6a166a08f79edfde85c728c8e33c8b07131f5486fa945c7bf9c0852"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.6.1.tar.gz",
"has_sig": false,
"md5_digest": "601b2ca2f3093f439c1ebe24711562e1",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 30707,
"upload_time": "2016-01-12T23:12:22",
"url": "https://files.pythonhosted.org/packages/d3/11/0378ac270d4775fcbdc93fa37af41b32cc1b1d1d662d591a4dc2f92909be/scikit-neuralnetwork-0.6.1.tar.gz"
}
],
"0.7": [
{
"comment_text": "",
"digests": {
"md5": "9af56af932cf3e12343e8d7ecf267997",
"sha256": "5a08a01759ece55fdd9a16a1227a7b8d7d103b97abe60320972c9f077a9a3eb8"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.7.tar.gz",
"has_sig": false,
"md5_digest": "9af56af932cf3e12343e8d7ecf267997",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 33332,
"upload_time": "2016-04-03T20:24:55",
"url": "https://files.pythonhosted.org/packages/dd/37/bfc84fc1b1bfc7364f564469cf76d90336accf16087dfd5a1bf589bd1dd9/scikit-neuralnetwork-0.7.tar.gz"
}
]
},
"urls": [
{
"comment_text": "",
"digests": {
"md5": "9af56af932cf3e12343e8d7ecf267997",
"sha256": "5a08a01759ece55fdd9a16a1227a7b8d7d103b97abe60320972c9f077a9a3eb8"
},
"downloads": -1,
"filename": "scikit-neuralnetwork-0.7.tar.gz",
"has_sig": false,
"md5_digest": "9af56af932cf3e12343e8d7ecf267997",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 33332,
"upload_time": "2016-04-03T20:24:55",
"url": "https://files.pythonhosted.org/packages/dd/37/bfc84fc1b1bfc7364f564469cf76d90336accf16087dfd5a1bf589bd1dd9/scikit-neuralnetwork-0.7.tar.gz"
}
]
}