To install the library:
$ # pip install ie_bike_model # To upload to PyPI, which is not intended.
$ pip install .
Basic usage:
>>> import datetime as dt
>>> from ie_bike_model.model import train_and_persist, predict
>>> train_and_persist() # Trains the model and saves it to `model.pkl`
>>> predict({
... "date": dt.datetime(2011, 1, 1, 0, 0, 0),
... "weathersit": 1,
... "temperature_C": 9.84,
... "feeling_temperature_C": 14.395,
... "humidity": 81.0,
... "windspeed": 0.0,
... })
1To install a development version of the library:
$ flit install
To run the tests:
$ pytest