/Tide-DS-Task

Tide DS Interview Task

Primary LanguageJupyter NotebookMIT LicenseMIT

Tide-DS-Task

Results

image info

Note: 5 Fold cross validation results are reported here. Mean and Std value as (mean ± std). H2O results are for 80:20 split, could not do kfold validation as it is compute and memory heavy.

To run the Tide-DS-Task.ipynb

  • Create python environment and install dependencies from requirements.txt
  • Put your data in data/ and starting running the notebook sequentially

To run evaluate.py

  • Make sure that you have test data in data/ and H2O model weights in models
  • Check the path in the evaluate.py and make sure that they're correct
  • Run evaluate.py

Note: Complete results of the experiments can be found in ./results/