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You can create a model to apply to your data for various purposes, including classification and information extraction. Once you create a model, you can train it using either using instructions or by providing examples. To create a model, complete the following procedure.
  1. In the Project space menu, select Collections.
  2. Select a collection.
  3. Select Models.
  4. Select Create Model > Create new model.
  5. Enter a Name and select the Model type.
  6. Configure the model as needed using the following fields:
    1. Select your Positive labels. At least one positive label is required.
    2. Select your Negative labels.
    3. Select a Pretrained model if desired.
    4. Enter a Description to describe the category you want to detect.
    5. Select a Train dataset to restrict the model to train on a subset of data.
    6. Select an Exclude train dataset to exclude a subset of data from model training.
    7. Select a Prediction dataset to restrict the model to predict on a subset of data.
  7. Select Create.