timetomodel 0.5.3

Sane handling of time series data for forecast modelling - with production usage in mind.

Sane handling of time series data for forecast modelling - with production usage in mind. While modelling time series data with data science libraries like Pandas, statsmodels, sklearn etc., dealing with time series data is cumbersome - timetomodel takes some of that over. Loading data, making train/test data, feeding data into rolling forecasts… Also, the context and assumptions under which a model was made and used should not be in notebooks, they should have a readable and reproducible spec. Timetomodel is hopefully useful while doing data & model exploration as well as when integrating or replacing models in production environments.