eriklindernoren / napkinml Goto Github PK
View Code? Open in Web Editor NEWA tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
License: MIT License
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
License: MIT License
I tried it directly from what you put and it returns
TypeError: must be a real number, not NoneType
not just the svd of the mean-centered matrix.
Apart from those covered Polynomial regression is also used very widely. It would be great to have an implementation for the same.
@eriklindernoren, what are your thoughts on this?
KMeans implementation issue
centers = np.array([X[clusters == c].mean(0) for c in clusters])
centers's shape is not right, the correct implementation is suggested as
centers = np.array([X[clusters == c].mean(0) for c in range(len(centers))])
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