Stanford Classifer
2.1.4Stanford Classifer for Mac, A machine learning classifier, directed at text categorization
Stanford Classifer is a free and open-source machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item. Stanford Classifer is a Java implementation of a maximum entropy classifier. Maximum entropy models are otherwise known as conditional loglinear models, and are essentially equivalent to multiclass logistic regression models (though parameterized slightly differently, in a way that is advantageous with sparse explanatory feature vectors).
Conclusion
To conclude Stanford Classifer works on Mac operating system and can be easily downloaded using the below download link according to GNU Public License license. The download file is only 4.1 MB in size.Stanford Classifer was filed under the Math category and was reviewed in softlookup.com and receive 3.2/5 Score.
Stanford Classifer has been tested by our team against viruses, spyware, adware, trojan, backdoors and was found to be 100% clean. We will recheck Stanford Classifer when updated to assure that it remains clean.
Stanford Classifer user Review
Please review Stanford Classifer application and submit your comments below. We will collect all comments in an effort to determine whether the Stanford Classifer software is reliable, perform as expected and deliver the promised features and functionalities.Popularity 6.4/10 - Downloads - 444 - Score - 3.2/5
| Category: | Math |
| Publisher: | Stanford NLP Group |
| Last Updated: | 01/06/2019 |
| Requirements: | Mac OS X |
| License: | GNU Public License |
| Operating system: | Mac |
| Hits: | 322 |
| File size: | 4.1 MB |
| Price: | Not specified |
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