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        "author": "Daniel L. Marino",
        "author_email": "marinodl@vcu.edu",
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        "description": "twodlearn\n=========\nA library to develop machine learning models.\n\nA. Installation\n---------------\n\n* 1. Install the desired version of tensorflow (CPU or GPU)\n  ::\n\n    pip install tensorflow        # for CPU\n    pip install tensorflow-gpu    # for GPU\n\n\n* 2. Clone the project\n  ::\n\n    git clone git@github.com:danmar3/twodlearn.git twodlearn\n    cd twodlearn\n\n\n* 3. Install the project\n  ::\n\n    pip install -e .\n\n* 4. Install extras (optional)\n  ::\n\n    pip install -e .[reinforce]\n    pip install -e .[development]\n\n\nB. Run the tests using pytest\n-----------------------------\ninstall pytest ``pip install -U pytest``\n\nrun the unit-tests using pytest:\n::\n\n  cd twodlearn/tests/\n  pytest -ra                # print a short test summary info at the end of the session\n  pytest -x --pdb           # drop to PDB on first failure, then end test session\n  pytest --pdb --maxfail=3  # drop to PDB for first three failures\n  pytest --durations=10     # get the test execution time\n  pytest --lf               # to only re-run the failures.\n  pytest --cache-clear      # clear the cache of failed tests\n\n\n\nRoadmap for v0.6\n----------------\n- [x] migrate to TF 1.14\n- [ ] add documentation\n- [ ] add project to pypi\n- [ ] create LayerNamespace\n- [x] add a shortcut for required and optional input arguments\n- [x] add check_arguments method to Layer and TdlModel\n- [x] get_parameters now supports nested structures and nested SimpleNamespace\n- [ ] deprecate tuple initialization\n- [ ] deprecate optim\n- [ ] move feedforward to dense\n- [ ] cleanup common: clean deprecated descriptors and put them in separate file\n- [ ] remove redundant base classes, such as TdlObject\n- [ ] deprecate templates and design a format for estimators\n- [ ] deprecate options value\n- [ ] deprecate pyfmi and jmodelica\n\n\n",
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