Hello dev@, Training a model in Gluon requires users to write the training loop, this is useful because of its imperative nature, however repeating the same code across multiple models can become tedious and repetitive with boilerplate code. The training loop can also be overwhelming to some users new to deep learning. Users have asked in [1] for a simple Fit API, similar to APIs available in SKLearn and Keras as a way to simplify model training and reduce boilerplate code and complexity.
So, I along with other contributor Naveen and Lai came up with a fit API proposal in [2] that covers 80% of the use-cases for beginners, the fit API does not replace the gluon training loops. The API proposal is inspired by the Keras fit API. I have discussed and got feedback from a few MXNet contributors (Sheng, Mu, Aston, Zhi) close by and I am writing to ask for the community’s feedback on the API proposal. [1] https://discuss.mxnet.io/t/wrapping-gluon-into-scikit-learn-like-api/2112 [2] https://cwiki.apache.org/confluence/display/MXNET/Gluon+Fit+API+-+Tech+Design Thanks, Ankit
