Next Steps

ProjectPredict is still in development, and numerous improvement can be made. Amoung them are:

• The default learning algorithm, the Gaussian Process Regressor model from scikit-learn does not perform adequately for a wide variety of data sets. Some alternatives would be to use GPFlow or pymc3 to determine the distribution using non-parametric Bayesian methods.
• The visualization capabilities are admittedly somewhat primitive and lacks the ability to interact with the project graph. A much better solution would be to set up a small web server and use cytoscape to view and interact with the model.
• Durations are internally represented as Python datetime.timedelta objects. It might be better to allow users to specify how long a working day is (8 hours) and define a day to be the length of the working hours.
• Completing a task should update the model so that it learns as the project progresses.