Mailman 3 March 2017 - scikit-learn

Scipy 2017
by Andreas Mueller March 5, 2017

March 5, 2017

Hey folks. Who's coming to scipy this year? Any volunteers for tutorials? I'm happy to be part of it but doing 7h by myself is a bit much ;) Andy

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GSoC 2017
by Aman Pratik March 3, 2017

March 3, 2017

Hello Developers, This is Aman Pratik. I am currently pursuing my B.Tech from Indian Institute of Technology, Varanasi. I am a keen software developer and not very new to the open source community. I am interested in your project "*Improve online learning for linear models*" for GSoC 2017. I have been working in Python for the past 2 years and have good idea about Machine Learning algorithms. I am quite familiar with scikit-learn both as a user and a developer. These are the PRs I have worked/working on for the past few months. [MRG+1] Issue#5803 : Regression Test added #8112 <https://github.com/scikit-learn/scikit-learn/pull/8112> [MRG] Issue#6673 : Make a wrapper around functions that score an individual feature <https://github.com/scikit-learn/scikit-learn/pull/8038> [MRG] Issue #7987: Embarrassingly parallel "n_restarts_optimizer" in GaussianProcessRegressor <https://github.com/scikit-learn/scikit-learn/pull/7997> My GitHub Profile: https://www.github.com/amanp10 I have basic knowledge about SGD (Stochastic Gradient Descent) and related algorithms. Also, I am familiar with Benchmark tests, Unit tests and other technical knowledge I would require for this project. I have started my study for the subject and am looking forward to guidance from the potential mentors or anyone willing to help. Thank You

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Confidence and Prediction Intervals of Support Vector Regression
by Raga Markely March 2, 2017

March 2, 2017

Hi everyone, I wonder if you could provide me with some suggestions on how to determine the confidence and prediction intervals of SVR? If you have suggestions for any machine learning algorithms in general, that would be fine too (doesn't have to be specific for SVR). So far, I have found: 1. Bootstrap: http://stats.stackexchange.com/questions/183230/bootstrapping-confidence-in… 2. http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.00487… 3. ftp://ftp.esat.kuleuven.ac.be/sista/suykens/reports/10_156_v0.pdf But, I don't fully understand the details in #2 and #3 to the point that I can write a step by step code. If I use bootstrap method, I can get the confidence interval as follows? a. Draw bootstrap sample of size n b. Fit the SVR model (with hyperparameters chosen during model selection with grid search cv) to this bootstrap sample c. Use this model to predict the output variable y* from input variable X* d. Repeat step a-c for, for instance, 100 times e. Order the 100 values of y*, and determine, for instance, the 10th percentile and 90th percentile (if we are looking for 0.8 confidence interval) f. Repeat a-e for different values of X* to plot the prediction with confidence interval But, I don't know how to get the prediction interval from here. Thank you very much, Raga

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Women in Machine Learning and Data Science Sprint next Weekend (also call for help)
by Andreas Mueller March 1, 2017

March 1, 2017

Hey all. There's gonna be an introductory scikit-learn sprint at NYC on Saturday that a local Women's DS/ML group is organizing with me. I feel like we could do a bit more to improve (gender) diversity in the scipy/pydata space, and so I think this will be cool. If anyone wants to review code on Saturday that would be a great help for people getting started. Also, if anyone wants to help beforehand, making sure there is enough "easy" and "need contributor" issues tagged is important, as well as ensuring that all the tagged issues actually still need contributors. I'll try to do as much of these as I can but my time is limited these days :( Thanks y'all! Andy

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Re: [scikit-learn] GSoC, 2017 - Parallel Decision Tree Building
by Aman Dalmia March 1, 2017

March 1, 2017

Hello Sir, Thank you for your response. You made it very clear for me as to what needs to be done. I'll have a careful look at the code for the tree module and would try to start implementing some part of the functionality desired. I'll get back to you if I get stuck and post the link of my proposal once I am done with the first draft of it. However, I don't see scikit-learn being mentioned as on the ideas page for Python Software Foundation - https://summerofcode.withgoogle.com/organizations/5164886469378048/. Is there an error? Thanks, Aman Dalmia

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