Nikolay Mayorov nmayorov

Improve nonlinear least squares minimization functionality in SciPy

Name: Nikolay Mayorov e-mail: [email protected] github: nmayorov

Name: Nikolay Mayorov e-mail: [email protected] github: nmayorov

Name: Nikolay Mayorov e-mail: [email protected] github: 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])])

	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

	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

	# Improve nonlinear least squares minimization functionality in SciPy

	## Suborganization: scipy

	## Student information

	Name: Nikolay Mayorov
	e-mail: [email protected]
	github: nmayorov