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            "Topic :: Office/Business :: Scheduling"
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        "description": "# ProjectPredict\n\nProjectPredict is a library to help project managers gain insight into the status of their project using Bayesian\nnetworks. It is inspired by the paper [\"Project scheduling: Improved approach to incorporate uncertainty using Bayesian\nnetworks](https://www.pmi.org/learning/library/project-scheduling-approach-incorporate-uncertainty-2371)\n(Khodakarami, Fenton, & Neil, Project Management Journal, 2007). The project features\n\n* Inferring the latest start date, earliest finish date, and total float for each task in a project\n* Recommending which task or tasks should be started next using custom constraints and objective functions\n* Task duration specified either through \n  [three-point (PERT) estimation](https://en.wikipedia.org/wiki/Three-point_estimation) or inferring the duration of a \n  task from a custom machine learning model\n* Visualization of a project timeline using [Matplotlib](https://matplotlib.org)\n\n## Installation\nThe easiest way to install ProjectPredict is to install it from PyPI using pip\n\n`pip install projectpredict`\n\n## Documentation\n\nMore information can be found [here](http://projectpredict.readthedocs.io/en/latest/)",
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