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I am using cross_validation from sklearn,
from sklearn.cross_validation import train_test_split I get the below warning:
cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved.
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If you wish to squelch deprecation warnings, you can start Python with -Wi::Deprecation . This sets all deprecation warnings to ignored. There is also an Scikit-beam-specific ~scikit-beam. utils.
If you wish to squelch deprecation warnings, you can start Python with -Wi::Deprecation. This sets all deprecation warnings to ignored. There is also an Astropy-specific AstropyDeprecationWarning which can be used to disable deprecation warnings from Astropy only.
Deprecation warnings are a common thing in our industry. They are warnings that notify us that a specific feature (e.g. a method) will be removed soon (usually in the next minor or major version) and should be replaced with something else.
Problem:
The deprecation warning means that the module is deprecated, i.e. no longer supported. You are using a version for which sklearn.cross_validation is not a module any longer.
Solution:
from sklearn.model_selection import train_test_split C/O: This post.
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To avoid this, you just need to replace:
from sklearn.cross_validation import train_test_split by
from sklearn.model_selection import train_test_split Reference: skLearn
Warning: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20. "This module will be removed in 0.20.", DeprecationWarning)
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