assignment3's Introduction
## Instructions for running this code 1. Clone the repository `git clone https://github.com/KalielWilliamson/assignment3.git` 2. Create a new conda environment with the required packages: `conda env create -f environment.yml -n <env_name>` 3. Activate the environment: `conda activate <env_name>` 4. Download the hepmass dataset from uci machine learning repository. Unzip it and place it in the artifacts directory. link: https://archive.ics.uci.edu/ml/machine-learning-databases/00347/all_train.csv.gz 5. Run the hyperparameter tuning script: `python assignment3.py --dataset=<dataset_name>` dataset_name can be either 'HEPMASS' or 'APS_SYSTEM_FAILURE' 6. Run the tuner_analysis notebook to analyze the results of the hyperparameter tuning script: `jupyter notebook tuner_analysis.ipynb`
assignment3's People
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