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Using the classic Iris dataset, we built a model to predict Iris species. Test out the model and trigger a dataflow from the AWS Redshift dataset we've connected.
Test out a PyTorch Text Classification Neural Network, trained with categorized news headlines. This model returns a list of categories and their probabilities for a given text string.
curl. Just describe your model inputs and
we'll build the inference UI. Presenting your model is about to get
a lot more satisfying.