You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
In [17]: /Users/jannes/anaconda/lib/python3.5/site-packages/sklearn/cross_validation.py:41: 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)
'it reaches its limits on unstructured data like text.' Depending on the task decision trees might still be used in some NLP applications, but I would have to check.
In [13]: 'Couldn't import dot_parser, loading of dot files will not be possible.' This again
Summary:
These tools are quite useful and are sort of the standard recipe together with neural nets for winning machine learning competitions. (What about SVM)
The text was updated successfully, but these errors were encountered:
In [17]: /Users/jannes/anaconda/lib/python3.5/site-packages/sklearn/cross_validation.py:41: 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)
'it reaches its limits on unstructured data like text.' Depending on the task decision trees might still be used in some NLP applications, but I would have to check.
In [13]: 'Couldn't import dot_parser, loading of dot files will not be possible.' This again
Summary:
These tools are quite useful and are sort of the standard recipe together with neural nets for winning machine learning competitions. (What about SVM)
The text was updated successfully, but these errors were encountered: