Add short-term predictions into Luigi pipeline

[Raphael Delhome]

A seminal work has been done in an alternative Github project. It could be interesting to integrate it to the Luigi data pipeline built here.

As input :

• timeserie table, for any city

As output :

• short_term_predictions table with columns station_id, nb_bikes, nb_stands, ts ; stored in the corresponding city scheme.

The timestamp column will indicate the date and hour of the prediction, in a such manner that new predictions could be added to the table on-the-fly (instead of dropping old predictions when new ones are made). As a consequence, the output table primary key is given by columns (station_id, ts).

This idea is a first draw, we could integrate some more information to the table and make appear true values when they become available, and concurrently, error measures (absolute, relative, quadratic, and so on...).

[Raphael Delhome]

The PR #9 added the model training step. It still misses the inference step, i.e. to predict effectively the bike availability.

[Raphael Delhome]

The PR #32 should solve the issue. As long as it is merged into master, this issue will have to be closed.