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487prj's Introduction

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

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