This repo is for 487 final project "Anyone can cook"
The userRecipeData.csv is the processed dataset from allReceipes.csv
dataset.py is the dataloader for regression model on recipe text.
dataset_bucketing.py is the dataloader for classification model on recipe text.
dataset_old.py is the dataloader for regression model on ingredient list.
dataset_ingre_bucket.py is the dataloader for classification model on ingredient list.
getPLots.ipynb is used to generate the plot for loss
helpy_log.py is used to help log the training performance
helpy_train.py is used to training helper functions.
mlp.py is the regression model architecture
mlp_bucket.py is the classification model architecture
runner.py is a training script
train.py is a different training script