Introductory quote:
"Machine learning people use hugely complex algorithms on trivially simple datasets. Biology does trivially simple algorithms on hugely complex datasets."
- Replicability
This gist is only meant for discussion. |
import numpy as np | |
import time | |
from sklearn import cluster | |
from sklearn import datasets | |
lfw = datasets.fetch_lfw_people() | |
X_lfw = lfw.data[:, :5] | |
eps = 8. # This choice of EPS gives 44 clusters |
""" | |
Benching I/O with joblib and other libraries. Comment and | |
un-comment what you are interested in. | |
Warning: this is slow, and the benchs are easily offset by other disk | |
activity. | |
""" | |
import os | |
import time | |
import shutil |
import numpy as np | |
import matplotlib.pyplot as plt | |
from sklearn.linear_model import Ridge, Lasso | |
from sklearn.cross_validation import ShuffleSplit | |
from sklearn.grid_search import GridSearchCV | |
from sklearn.utils import check_random_state | |
from sklearn import datasets | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from sklearn.linear_model import Lasso, lars_path | |
np.random.seed(42) | |
def gen_data(n, m, k): | |
X = np.random.randn(n, m) | |
w = np.zeros((m, 1)) | |
i = np.arange(0, m) |
import numpy as np | |
import sklearn.linear_model as lm | |
X = np.array([[ -2.18252949e-01, -8.21949578e-02, -4.64055457e-02, | |
-1.78405908e-01, -1.93863740e-01, 5.30667625e-02, | |
1.83851107e-01, 1.23426449e-01, 1.97396315e-01, | |
-2.12615837e-01, 7.06452283e-02, -1.94509405e-01, | |
-9.77929516e-02, 2.07135018e-01, -3.40368338e-02, | |
2.02970673e-01, -2.28669466e-01, 4.17398420e-02, | |
1.80163132e-01, 3.24254938e-02, -2.41198452e-03, |
# Licence : BSD | |
# Author: Gael Varoquaux | |
from time import time | |
import numpy as np | |
import pylab as pl | |
from scipy import linalg, ndimage | |
from sklearn import linear_model |
""" | |
Benching I/O with joblib and other libraries. Comment and | |
un-comment what you are interested in. | |
Warning: this is slow, and the benchs are easily offset by other disk | |
activity. | |
""" | |
import os | |
import time | |
import shutil |