Feature Creation System
(Redirected from feature creation system)
Jump to navigation
Jump to search
A Feature Creation System is an information extraction system that can solve a Feature Creation Task (by implementing a Feature Creation Algorithm).
- AKA: Feature Extraction System.
- …
- Example(s):
- Counter-Example(s):
- See: Feature Weighting System, Text Item Feature.
References
2013
- http://scikit-learn.org/stable/modules/feature_extraction.html
- The sklearn.feature_extraction module can be used to extract features in a format supported by machine learning algorithms from datasets consisting of formats such as text and image.
Note: Feature extraction is very different from Feature selection: the former consists in transforming arbitrary data, such as text or images, into numerical features usable for machine learning. The latter is a machine learning technique applied on these features.
- The sklearn.feature_extraction module can be used to extract features in a format supported by machine learning algorithms from datasets consisting of formats such as text and image.