Gregory Gundersen gwgundersen
vvanirudh
/ random_fourier_features.py
Created
February 6, 2018 19:39
Random fourier features using both sines and cosines embedding for Gaussian kernel
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| from sklearn.base import BaseEstimator | |
| from sklearn.exceptions import NotFittedError | |
| import numpy as np | |
| class IRFF(BaseEstimator): | |
| ''' | |
| Random fourier features using the improved embedding | |
| https://www.cs.cmu.edu/~schneide/DougalRandomFeatures_UAI2015.pdf | |
| ''' |