Gradient and Directional Derivative
Original post is The Gradient and Directional Derivative from Mathematics School, Oregon State University. Here I thank the author(s) sincerely.
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Generative Models
参考自 Introduction to Semi-Supervised Learning。
Python: Yes, you can unpack a generator!
def square_and_cube(x): yield x**2 yield x**3
Python: Generator Expressions / joblib.Parallel
其实 Digest of Fluent Python 里有讲，只是我实在是太不习惯它的用法了：
ggplot2: use geom_line() carefully when your x-axis data are descending
Given 3 points, $(1,1), (2,1), (2,2)$, how would you connect them with 2 segments? Subtly, geom_line of ggplot2 thinks in a different way when you order the ...
Python: How to pip-install packages in virtualenv
My aim is to install ALL packages I need for a project to a non-default location.
scikit-learn: init your estimator lightly and fit heavily
If you run cross_validate(n_jobs > 1) with your own estimator, pay attention that your estimator will be copied per job.
scipy: pdist indexing
scipy.spatial.distance.pdist(X) gives the pair-wise distances of X, $\operatorname{dist}(X[i], X[i])$ not included. The distances are stored in a dense matri...