{
    "info": {
        "author": "Simon Blanke",
        "author_email": "simon.blanke@yahoo.com",
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            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "<p align=\"center\">\n  <br>\n  <a href=\"https://simonblanke.github.io/Hyperactive/\"><img src=\"./docs/_media/hyperactive_logo.png\" height=\"200\"></a>\n  <br>\n</p>\n\n<br>\n\n---\n\n<h2 align=\"center\">A hyperparameter optimization and meta-learning toolbox for convenient and fast prototyping of machine-learning models.</h2>\n\n<br>\n\n<table>\n  <tbody>\n    <tr align=\"left\" valign=\"center\">\n      <td>\n        <strong>Master status:</strong>\n      </td>\n      <td>\n        <a href=\"https://travis-ci.com/SimonBlanke/Hyperactive\">\n          <img src=\"https://img.shields.io/travis/com/SimonBlanke/Hyperactive/master?style=flat-square&logo=travis\" alt=\"img not loaded: try F5 :)\">\n        </a>\n        <a href=\"https://coveralls.io/github/SimonBlanke/Hyperactive\">\n          <img src=\"https://img.shields.io/coveralls/github/SimonBlanke/Hyperactive?style=flat-square&logo=codecov\" alt=\"img not loaded: try F5 :)\">\n        </a>\n      </td>\n    </tr>\n    <tr/>\n    <tr align=\"left\" valign=\"center\">\n      <td>\n        <strong>Dev status:</strong>\n      </td>\n      <td>\n        <a href=\"https://travis-ci.com/SimonBlanke/Hyperactive\">\n          <img src=\"https://img.shields.io/travis/SimonBlanke/Hyperactive/dev?style=flat-square&logo=travis\" alt=\"img not loaded: try F5 :)\">\n        </a>\n        <a href=\"https://coveralls.io/github/SimonBlanke/Hyperactive?branch=dev\">\n          <img src=\"https://img.shields.io/coveralls/github/SimonBlanke/Hyperactive/dev?style=flat-square&logo=codecov\" alt=\"img not loaded: try F5 :)\">\n        </a>\n      </td>\n    </tr>\n    <tr/>    <tr align=\"left\" valign=\"center\">\n      <td>\n         <strong>Code quality:</strong>\n      </td>\n      <td>\n        <a href=\"https://app.codacy.com/project/SimonBlanke/Hyperactive/dashboard\">\n        <img src=\"https://img.shields.io/codacy/grade/acb6989093c44fb08cc3be1dd2df1be7?style=flat-square&logo=codacy\" alt=\"img not loaded: try F5 :)\">\n        </a>\n        <a href=\"https://codeclimate.com/github/SimonBlanke/Hyperactive\">\n        <img src=\"https://img.shields.io/codeclimate/maintainability/SimonBlanke/Hyperactive?style=flat-square&logo=code-climate\" alt=\"img not loaded: try F5 :)\">\n        </a>\n        <a href=\"https://scrutinizer-ci.com/g/SimonBlanke/Hyperactive/\">\n        <img src=\"https://img.shields.io/scrutinizer/quality/g/SimonBlanke/Hyperactive?style=flat-square&logo=scrutinizer-ci\" alt=\"img not loaded: try F5 :)\">\n        </a> \n        <a href=\"https://www.codefactor.io/repository/github/simonblanke/hyperactive\">\n        <img src=\"https://img.shields.io/codefactor/grade/github/SimonBlanke/Hyperactive?label=code%20factor&style=flat-square\" alt=\"img not loaded: try F5 :)\">\n        </a>     \n      </td>\n    </tr>\n  </tbody>\n</table>\n\n<br>\n\n---\n\n<div align=\"center\"><a name=\"menu\"></a>\n  <h3>\n    <a href=\"https://simonblanke.github.io/Hyperactive/\">Documentation</a> |\n    <a href=\"https://github.com/SimonBlanke/Hyperactive#main-features\">Main features</a> |\n    <a href=\"https://github.com/SimonBlanke/Hyperactive#installation\">Installation</a> |\n    <a href=\"https://github.com/SimonBlanke/Hyperactive#license\">License</a>\n  </h3>\n</div>\n\n---\n\n<br>\n\n## Main features\n\n- Very simple but versatile API\n- Thoroughly tested code base\n- Compatible with <b>any python machine-learning framework</b>\n- Optimize:\n  - Anything from [simple models](https://simonblanke.github.io/Hyperactive/#/./examples/sklearn_examples?id=sklearn) <br/> to complex [machine-learning-pipelines](https://simonblanke.github.io/Hyperactive/#/./examples/sklearn_pipeline_example?id=sklearn-pipeline)\n  - Multi-level [ensembles](https://simonblanke.github.io/Hyperactive/#/./examples/stacking_example?id=stacking)\n  - [Deep neural network](https://simonblanke.github.io/Hyperactive/#/./examples/cnn_structure?id=keras-cnn-structure) architecture\n  - Other [optimization techniques](./docs/examples.md) (meta-optimization)\n  - Or [any function](./docs/examples.md) you can specify with this API\n- Utilize state of the art [optimization techniques](https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=optimization-techniques) like:\n    - Simulated annealing\n    - Evolution strategy\n    - Bayesian optimization\n- [High performance](https://simonblanke.github.io/Hyperactive/#/./performance/README?id=performance): Optimizer time is neglectable for most models\n- Choose from a variety of different [optimization extensions](https://simonblanke.github.io/Hyperactive/#/./extentions/README?id=optimization-extensions) to improve the optimization\n\n<br>\n\n<table>\n  <tbody>\n    <tr align=\"center\" valign=\"center\">\n      <td>\n        <strong>Optimization Techniques</strong>\n        <img src=\"./docs/_media/blue.jpg\"/>\n      </td>\n      <td>\n        <strong>Tested and Supported Packages</strong>\n        <img src=\"./docs/_media/blue.jpg\"/>\n      </td>\n      <td>\n        <strong>Optimization Extentions</strong>\n        <img src=\"./docs/_media/blue.jpg\"/>\n      </td>\n    </tr>\n    <tr/>\n    <tr valign=\"top\">\n      <td>\n        <a><b>Local Search:</b></a>\n          <ul>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=hill-climbing\">Hill Climbing</a></li>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=stochastic-hill-climbing\">Stochastic Hill Climbing</a></li>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=tabu-search\">Tabu Search</a></li>\n         </ul>\n        <a><b>Random Methods:</b></a>\n          <ul>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=random-search\">Random Search</a></li>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=random-restart-hill-climbing\">Random Restart Hill Climbing</a></li>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=random-annealing\">Random Annealing</a> [<a href=\"https://github.com/SimonBlanke/Hyperactive#random-annealing\">*</a>] </li> \n         </ul>\n        <a><b>Markov Chain Monte Carlo:</b></a>\n          <ul>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=simulated-annealing\">Simulated Annealing</a></li>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=stochastic-tunneling\">Stochastic Tunneling</li>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=parallel-tempering\">Parallel Tempering</a></li>\n          </ul>\n        <a><b>Population Methods:</b></a>\n          <ul>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=particle-swarm-optimization\">Particle Swarm Optimizer</li>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=evolution-strategy\">Evolution Strategy</a></li>\n          </ul>\n        <a><b>Sequential Methods:</b></a>\n          <ul>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./optimizers/README?id=bayesian-optimization\">Bayesian Optimization</a></li>\n          </ul>\n      </td>\n      <td>\n        <a><b>Machine Learning:</b></a>\n          <ul>\n              <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./examples/sklearn_examples?id=sklearn\">Scikit-learn</a></li>\n              <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./examples/xgboost_example?id=xgboost\">XGBoost</a></li>\n              <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./examples/lightgbm_example?id=lightgbm\">LightGBM</a></li>\n              <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./examples/catboost_example?id=catboost\">CatBoost</a></li>\n          </ul>\n        <a><b>Deep Learning:</b></a>\n          <ul>\n              <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./examples/cnn_mnist?id=keras-cnn\">Keras</a></li>\n          </ul>\n        <a><b>Distribution:</b></a>\n          <ul>\n              <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./examples/multiprocessing_example?id=multiprocessing\">Multiprocessing</a></li>\n          </ul>\n      </td>\n      <td>\n        <a><b>Position Initialization:</b></a>\n          <ul>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./extentions/README?id=scatter-initialization\">Scatter-Initialization</a> [<a href=\"https://github.com/SimonBlanke/Hyperactive#scatter-initialization\">*</a>] </li>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./extentions/README?id=warm-start\">Warm-start</a></li>\n            <li>Meta-Learn (coming soon)</li>\n          </ul>\n        <a><b>Resource Allocation:</b></a>\n          <ul>\n            <li><a href=\"https://simonblanke.github.io/Hyperactive/#/./extentions/README?id=memory\">Memory</a></li>\n            <li>Proxy Datasets [<a href=\"https://github.com/SimonBlanke/Hyperactive#1-proxy-datasets-for-training-convolutional-neural-networks\">1</a>]\n (coming soon)</li>\n          </ul>\n      </td>\n    </tr>\n  </tbody>\n</table>\n\n<div align=\"center\">\n  <h3>\n    This readme provides only a short introduction. For more information check out the <br/>\n    <a href=\"https://simonblanke.github.io/Hyperactive/\">full documentation</a>\n  </h3>\n</div>\n\n<br>\n\n## Installation\n[![PyPI version](https://badge.fury.io/py/hyperactive.svg)](https://badge.fury.io/py/hyperactive)\n\nThe most recent version of Hyperactive is available on PyPi:\n```console\npip install hyperactive\n```\n\n<br>\n\n## Experimental algorithms\n\nThe following algorithms are of my own design and, to my knowledge, do not yet exist in the technical literature. \nIf any of these algorithms still exist I ask you to share it with me in an issue.\n\n#### Random Annealing\n\nA combination between simulated annealing and random search. \n\n#### Scatter Initialization\n\nInspired by hyperband optimization.\n\n<br>\n\n## References\n\n#### [1] [Proxy Datasets for Training Convolutional Neural Networks](https://arxiv.org/pdf/1906.04887v1.pdf)\n#### [2] [An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks](https://arxiv.org/pdf/1312.6211.pdf)\n\n<br>\n\n## License\n\n[![LICENSE](https://img.shields.io/github/license/SimonBlanke/Hyperactive?style=for-the-badge)](https://github.com/SimonBlanke/Hyperactive/blob/master/LICENSE)\n\n\n\n",
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