Authors : Sivane Marciano - Oumane Seydina Niang - Yanis Fellah - Lounes Guergous - Marvin Tordjamn - Sajjad Mahdavi
In this project, the objective is to predict the electricity consumption in Watt-hours of a Belgian low energy house. The explanatory variables are temperature and humidity measurements from sensors in the house, as well as weather data from a nearby station and the global consumption of the country.
To run a submission and the notebook you will need the dependencies listed
in requirements.txt
. You can install the dependencies with the
following command-line:
pip install -U -r requirements.txt
If you are using conda
, we provide an environment.yml
file for similar
usage.
Get started with the dedicated notebook. It contains the following:
-
Problem statement
-
Data Exploration
- Features Explanation
- Features Exploration
- Data pre-processing
- Categorical Features
- Missing Values
-
Workflow
-
Submission details
-
RAMP submission
The submissions need to be located in the submissions
folder. For instance
for my_submission
, it should be located in submissions/my_submission
.
To run a specific submission, you can use the ramp-test
command line:
ramp-test --submission my_submission
You can get more information regarding this command line:
ramp-test --help
You can find more information regarding ramp-workflow
in the
dedicated documentation