Packaging the ML Library

The need for packaging

There are two main parts to any ML project: training and inference. We receive data from some source (historical in the case of training, streaming in the case of inference) and apply our algorithm (training or inference) in both. Then we use the results (evaluation for training, downstream tasks for inference). The diagram below demonstrates the process.