Dengue prediction competition from DrivenData.
Can you predict local epidemics of dengue fever?
Dengue fever is a mosquito-borne disease that occurs in tropical and sub-tropical parts of the world. In mild cases, symptoms are similar to the flu: fever, rash, and muscle and joint pain. In severe cases, dengue fever can cause severe bleeding, low blood pressure, and even death.
Because it is carried by mosquitoes, the transmission dynamics of dengue are related to climate variables such as temperature and precipitation. Although the relationship to climate is complex, a growing number of scientists argue that climate change is likely to produce distributional shifts that will have significant public health implications worldwide.
From https://www.drivendata.org/competitions/44/dengai-predicting-disease-spread/
data : original dataset.
notebooks : exploratory notebooks.
src/bamboo : clean code to reuse for training.
It was the name of a village in the Langtang Trek where I stopped by when I was in Nepal. At the time I felt sick and didn't know what was happening, later on a blood test confirmed I had dengue.
I am working on a MacOS M1 laptop, and so I have runned into problems installing darts,
due to the lightgbm installation
(https://github.com/unit8co/darts/blob/master/INSTALL.md#macos-issues-with-lightgbm).
As a workaround, once the environment is created (I am using conda as env manager),
I install lightgbm with conda and then the remaining of the environment with pip.
conda install lightgbm -y
pip install -e . -r requirements.txt