Name: Nikolay Mayorov e-mail: n59_ru@hotmail.com github: nmayorov
Name: Nikolay Mayorov e-mail: n59_ru@hotmail.com github: nmayorov
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# Improve nonlinear least squares minimization functionality in SciPy | |
## Suborganization: scipy | |
## Student information | |
**Name**: Nikolay Mayorov | |
**e-mail**: n59_ru@hotmail.com | |
**github**: nmayorov |
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# Improve nonlinear least squares minimization functionality in SciPy | |
## Suborganization: scipy | |
## Student information | |
**Name**: Nikolay Mayorov | |
**e-mail**: n59_ru@hotmail.com | |
**github**: nmayorov |
Name: Nikolay Mayorov e-mail: n59_ru@hotmail.com github: nmayorov
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from __future__ import print_function | |
import numpy as np | |
from leastsqbound import leastsqbound | |
def fun(x): | |
return np.array([10 * (x[1] - x[0]**2), (1 - x[0])]) | |
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import numpy as np | |
import matplotlib.pyplot as plt | |
from sklearn.datasets import (load_digits, load_breast_cancer, | |
load_diabetes, load_boston) | |
from sklearn.linear_model import RidgeCV | |
from sklearn.preprocessing import minmax_scale | |
from sklearn.model_selection import cross_val_score | |
from sklearn.feature_selection import (SelectKBest, MutualInfoSelector, | |
f_classif, f_regression) | |
from sklearn.svm import LinearSVC |
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import numpy as np | |
import matplotlib.pyplot as plt | |
from sklearn.datasets import (load_digits, load_breast_cancer, | |
load_diabetes, load_boston) | |
from sklearn.linear_model import RidgeCV | |
from sklearn.preprocessing import minmax_scale | |
from sklearn.model_selection import cross_val_score | |
from sklearn.feature_selection import (SelectKBest, MutualInfoSelector, | |
f_classif, f_regression) | |
from sklearn.svm import LinearSVC |
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