The Multiclass classifier service helps in classifying the text corresponding labels. This classifier learns from your training data and then returns the labels which corresponds.
You can train a Multiclass Classifier in less than 10 minutes.
For you to create a Multiclass classifier that can work with your own data, you need to assemble and provide the training data in CSV format.
For the example we are using some resume data for multiclass classification. Here we are training our model using ‘Education’, ‘Organization’, ‘Skills’ data.
A column in the file represents an example record. First row of the record should be the class labels and rows below it represent its features.
The following table shows an example data from the sample CSV file:
education, Computational Methods for Biology