In the text classification demo, right now it seems that the model names are just numbers, so it's hard to tell which model is which.
We should think about model naming. Here are some ideas:
"model1", "model2", "model3". Not very useful, but if we can find parameters somewhere in the zeno interface (is this a possibility?) then we could look at the models.
Find all parameters that vary between models, and print out a model name consisting of the concatenation of the parameters. For example, if we have "learning_rate", "training_data", and "batch_size", where "batch_size" is constant across all models, we could make the name "learning_rate=xxx,training_data=yyy".
In the text classification demo, right now it seems that the model names are just numbers, so it's hard to tell which model is which.
We should think about model naming. Here are some ideas: