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svc.py
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svc.py
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# coding: utf-8
from __future__ import division, print_function, unicode_literals
import numpy
from sklearn.svm import SVC
from sklearn.grid_search import GridSearchCV
from sklearn.cross_validation import cross_val_score
from sklearn.preprocessing import StandardScaler
from sklearn.externals import joblib
def main():
X = joblib.load('X.pkl').astype(numpy.float)
y = joblib.load('y.pkl')
scaler = StandardScaler()
X = scaler.fit_transform(X)
# C : 2^-5から2^15くらい
# gamma : 2^-15から2^3くらい
param_grid = {
"kernel":[b"rbf"],
"C":numpy.logspace(-5.0, 15.0, num=40, base=2.0),
"gamma":numpy.logspace(-15.0, 3, num=20, base=2.0)}
clf = GridSearchCV(SVC(), param_grid, n_jobs=-1, cv=5, verbose=1)
clf.fit(X, y)
print('score =', clf.best_score_)
print('params =', repr(clf.best_params_))
joblib.dump(clf.best_estimator_, 'svc.pkl')
joblib.dump(scaler, 'svc_scaler.pkl')
# clf = joblib.load('svc.pkl')
# print(cross_val_score(clf, X, y, cv=5, n_jobs=-1, verbose=2))
if __name__ == '__main__':
main()