Choose this use case if you wish to develop a model that can detect and classify the language of the input text. Given a dataset containing chunks of text and their corresponding language labels, you can generate a model that successfully identifies the language of the text.
This section specifies the Datasets / Feature Groups requirements to successfully train a Language Detection model. Feature requirements include recommendations on additional datasets that might enhance model performance.
This section describes all the available model training options that can be used to create a Language Detection model. You can utilize the metric explanations to better understand how they measure the performance of the model you trained.
This section discusses the prediction API method so that you could properly generate predictions from the model you deployed.