Stanford Classifier

Stanford Classifier is a machine learning tool that will take data items and place them into one of k classes it can also give a probability distribution over the class assignment for a data item.

Stanford Classifier

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G2 User in Computer Software

Advanced user of Stanford Classifier

★★★★★

A classifier that adheres to Stanford quality

What do you like best?

The classifier is optimized to give quick results. It is easy to use and the documentation is well updated. If used with appropriate ide, then the intelligent code suggestions will help you understand function call parameters very well because of the readable variable names used.

What do you dislike?

There should be a way to add your own model to the classifier. Because of Java, we cannot extend the class files but it would be a good feature to have.

What problems are you solving with the product? What benefits have you realized?

I used Stanford classifier for a research project

Review source: G2.com