[scikit-learn] PieGraph: First examples and documentation
Dear all, We have produced some documentation for the PipeGraph module. Essentially it consists of the API for the two main interfaces: PipeGraphRegressor and PipeGraphClassifier. I guess that at this point the best experience comes from reading the examples and watching the diagrams. These examples are more suggestive than exhaustive though. Our purpose is to present the project in this initial form in order to hear all your comments for making it as useful for you all as possible. These are the links: - The documentation: https://mcasl.github.io/PipeGraph/auto_examples/index.html - The module sources: https://mcasl.github.io/PipeGraph/ Best Manuel ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
[scikit-learn] transfer-learning for random forests
Hello, I recently begun a research project on Transfer Learning with some colleagues. We would like to contribute to scikit-learn incorporating Transfer Learning functions for Random Forests as described in this recent paper: ** *https://arxiv.org/abs/1511.01258* * *Before starting we would like to ensure that no existing project is ongoing. Thanks! BR, Sergio Peignier ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn