Uploading data for training and testing

In the Source selection step, select the input for training and testing data that is required to create a model.

1. Click Choose file.
2. Perform one of the following actions:

   • Select a .csv, .xls, or .xlsx file with sample records for training and testing the model in your directory. That file must contain sample records with the assigned categories.

   • For model update process, provide the feedback input that was gathered for this model as training data by selecting the Do you want to add feedback? check box. By training a model with your feedback, you can improve the model's accuracy. For more information about feedback for text analytics models, see PDN article Feedback loop API for text analysis.
3. Optional: To view the required structure of the input file as well as sample records, click Download template section.
4. Optional: Enable checking spelling.

   1. Select the Use spell checking check box.
   2. Expand the Select spell checker list and select a Spelling Checker Decision Data rule, if available.

      Enabling checking spelling can significantly increase the model training time, depending on the size of the training sample. Enabling checking spelling also has an impact on real-time performance of the model.

5. Optional: In the Preview section, view the first 50 records from the selected file.
6. Click Next.

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