igel

Thanks for the feedback! When I first started the project, it was not thought for production. Just for fast prototyping and experimenting with no efforts at all. However, users liked the tool and started requesting more features including support for serving models and eventually deploying (e.g this issue https://github.com/nidhaloff/igel/issues/62) I agree with your point of vue. However, igel is fairly new and evolving fast. Using igel to serve trained model is a new feature that was implemented in the new release so igel has a long way to go in order to be a solid product for production use.It will surely get more mature with time. Finally, notice that I didn't recommend running it in production. Just mentioned that it is possible and takes no efforts at all. However, if the user generated a trained model then anything can be done with

Awesome tool! A few things I found so far: - When running "fit", I get an error when I use the "--yaml_file" parameter mentioned in the readme: "Unrecognized argument -> yaml_file". Using "-yml" works - When using the model for prediction, what format should "path_to_your_test_dataset.csv" be in? Is that a csv in the same format as the training set except for the column we want to predict? Edit: I just found https://github.com/nidhaloff/igel/blob/v0.4.0/examples/data/...