stats.tests.test_kdeoth

Module Contents

Classes

_kde_subclass1(self,dataset)
_kde_subclass2(self,dataset)
_kde_subclass3(self,dataset,covariance)
_kde_subclass4()

Functions

test_kde_1d()
test_kde_2d()
test_kde_bandwidth_method()
test_gaussian_kde_subclassing()
test_gaussian_kde_covariance_caching()
test_gaussian_kde_monkeypatch() Ugly, but people may rely on this. See scipy pull request 123,
test_kde_integer_input() Regression test for #1181.
test_pdf_logpdf()
test_kde_1d()
test_kde_2d()
test_kde_bandwidth_method()
class _kde_subclass1(dataset)
__init__(dataset)
class _kde_subclass2(dataset)
__init__(dataset)
class _kde_subclass3(dataset, covariance)
__init__(dataset, covariance)
_compute_covariance()
class _kde_subclass4
covariance_factor()
test_gaussian_kde_subclassing()
test_gaussian_kde_covariance_caching()
test_gaussian_kde_monkeypatch()

Ugly, but people may rely on this. See scipy pull request 123, specifically the linked ML thread “Width of the Gaussian in stats.kde”. If it is necessary to break this later on, that is to be discussed on ML.

test_kde_integer_input()

Regression test for #1181.

test_pdf_logpdf()