Blogs by Ashwin

  Train Your Classification Model It requires recognized data to be trained, just like any other AI model. In order for the model to be tested, it must see examples of how to map data to a class. You have the option to allow the model to automatically divide your training data; by default, it will utilize 20% of the documents for blind testing and 80% of the documents for training. You can designate certain documents for testing if you want to use them to test your model. Choose Data labeling for your project in Language Studio. All of your documents will be visible to you. After choosing each document to include in the testing set, click Testing the model's performance. Create a new training job after saving your amended labels. Create Search Index Creating a search index that will be enhanced by a custom text classification model doesn't require any special actions on your part. Once you have developed a function app, you will be changing the index, indexer, and custom skill....