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multilabel-classification

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.

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Repository for the Albert Einstein Hosital's data science case

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