When I first joined Cash Converters, the data science setup was pretty raw. There was no proper repository for training data or models. Just a few Python files and few pickled model. That was it. Reproducibility was non-existent. There was no way to ...
What is MLflow? MLflow is an open-source platform for managing the machine learning lifecycle. It provides a set of tools and APIs tracking experiments, deploying models, and managing model versions. MLflow is provider agnostic and can be used with A...
Training a model is an interactive and iterative process which requires fair bit of tuning and quite a lot of debugging. Ability to write, run and debug locally makes this process significantly faster. However, data that we use to train our models ha...