nmayorov

Improve nonlinear least squares minimization functionality in SciPy

Suborganization: scipy

Student information

Name: Nikolay Mayorov e-mail: n59_ru@hotmail.com github: nmayorov

nmayorov

Improve nonlinear least squares minimization functionality in SciPy

Suborganization: scipy

Student information

Name: Nikolay Mayorov e-mail: n59_ru@hotmail.com github: nmayorov

nmayorov

# Improve nonlinear least squares minimization functionality in SciPy

## Suborganization: scipy

## Student information

**Name**:  Nikolay Mayorov
**e-mail**: n59_ru@hotmail.com
**github**: nmayorov

nmayorov

# Improve nonlinear least squares minimization functionality in SciPy

## Suborganization: scipy

## Student information

**Name**:  Nikolay Mayorov
**e-mail**: n59_ru@hotmail.com
**github**: nmayorov

nmayorov

Improve nonlinear least squares minimization functionality in SciPy

Suborganization: scipy

Student information

Name: Nikolay Mayorov e-mail: n59_ru@hotmail.com github: nmayorov

nmayorov

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])])

nmayorov

nmayorov

nmayorov

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

nmayorov

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