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MechCoder/bench.py

Created May 26, 2014 08:21
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bench.py
from sklearn.linear_model import ElasticNetCV
from sklearn.datasets import make_regression
import numpy as np
from scipy.sparse import csr_matrix
X, y = make_regression(n_samples=2000, n_features=2000)
clf = ElasticNetCV(n_jobs=4, cv=3, n_alphas=100, fit_intercept=False, l1_ratio=np.linspace(0.1, 0.9, 5))
clf.fit(X, y)
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