Repository for the Albert Einstein Hospital's data science case.
The jupyter notebook with the analysis can be found here, aditionally a PDF with the contents of this notebook can be found inside the reports/
folder.
To run the notebook we recommend to reproduce the same conda environment that was used at development time. To do this:
- Clone the repository:
git clone https://github.com/pibieta/multilabel-classification.git
- Install your favorite conda manager, for instance Anaconda.
- Create the environment by using the
yml
file located in the environments directory, by executing:
conda env create --file environment.yml
- Run the following command at the base repository folder:
jupyter notebook
- Feel free to run the notebook.