{ "info": { "author": "Christian Schulze", "author_email": "chris@andinfinity.de", "bugtrack_url": null, "classifiers": [], "description": "# PyPythia\nPython library for the Pythia platform.\n\n## Usage\n\n```\nfrom pythia import Experiment\n\n# init experiment\n\n# implies that an instance of Pythia is listening on localhost\nexp = Experiment('http://localhost:5667/api/v1/')\n\nexp.name = \"some catchy name\"\nexp.description = \"describe the experiment here\"\n\n# create a model\nmodel = exp.create_model()\nmodel.name = \"2 layers foo bar dropout softmax\"\n\nfor i in range(NUM_EPOCHS):\n for j in range(NUM_EXAMPLES):\n # the following two lines are not really valid\n train_classifier()\n train_accuracy = accuracy(classifier)\n\n # save the measured training accuracy\n model.add_measurement(name='train_accuracy',\n value=train_accuracy,\n step=j,\n epoch=i)\n```\n\n## Examples\n* [MNIST ConvNet in Tensorflow](https://github.com/ChristianSch/PyPythia/blob/master/examples/Tensorflow%20MNIST.ipynb)\n", "description_content_type": null, "docs_url": "https://pythonhosted.org/pypythia/", "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/ChristianSch/PyPythia", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "pypythia", "package_url": "https://pypi.org/project/pypythia/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/pypythia/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/ChristianSch/PyPythia" }, "release_url": "https://pypi.org/project/pypythia/0.0.3/", "requires_dist": null, "requires_python": null, "summary": "UNKNOWN", "version": "0.0.3" }, "last_serial": 2309324, "releases": { "0.0.3": [ { "comment_text": "", "digests": { "md5": "8cac2c172415eddd177586846305a3a3", "sha256": "3642361150f0a3062f5a4fadd69a4533fc05a939ff0a7748e9f3834eba5f5771" }, "downloads": -1, "filename": "pypythia-0.0.3-py2-none-any.whl", "has_sig": false, "md5_digest": "8cac2c172415eddd177586846305a3a3", "packagetype": "bdist_wheel", "python_version": "2.7", "requires_python": null, "size": 5049, "upload_time": "2016-08-28T09:52:02", "url": "https://files.pythonhosted.org/packages/e4/48/8e479ccdc135160d48c5eea0ed52d9312d7483dc6a3ac3708f422d13357d/pypythia-0.0.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "4b6a26224764d71ef51213c7f751fa34", "sha256": "7e84735d07d4b25a9ac15171e38c5fff9a88f2dc9610894106a648b5f98e13c0" }, "downloads": -1, "filename": "pypythia-0.0.3.tar.gz", "has_sig": false, "md5_digest": "4b6a26224764d71ef51213c7f751fa34", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3190, "upload_time": "2016-08-28T09:51:59", "url": "https://files.pythonhosted.org/packages/31/5e/4daa9b72d0a9d120fc09769b0fdb28b19d9b788886e1eabcdaa28041d191/pypythia-0.0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "8cac2c172415eddd177586846305a3a3", "sha256": "3642361150f0a3062f5a4fadd69a4533fc05a939ff0a7748e9f3834eba5f5771" }, "downloads": -1, "filename": "pypythia-0.0.3-py2-none-any.whl", "has_sig": false, "md5_digest": "8cac2c172415eddd177586846305a3a3", "packagetype": "bdist_wheel", "python_version": "2.7", "requires_python": null, "size": 5049, "upload_time": "2016-08-28T09:52:02", "url": "https://files.pythonhosted.org/packages/e4/48/8e479ccdc135160d48c5eea0ed52d9312d7483dc6a3ac3708f422d13357d/pypythia-0.0.3-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "4b6a26224764d71ef51213c7f751fa34", "sha256": "7e84735d07d4b25a9ac15171e38c5fff9a88f2dc9610894106a648b5f98e13c0" }, "downloads": -1, "filename": "pypythia-0.0.3.tar.gz", "has_sig": false, "md5_digest": "4b6a26224764d71ef51213c7f751fa34", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3190, "upload_time": "2016-08-28T09:51:59", "url": "https://files.pythonhosted.org/packages/31/5e/4daa9b72d0a9d120fc09769b0fdb28b19d9b788886e1eabcdaa28041d191/pypythia-0.0.3.tar.gz" } ] }