Expectation modelling with GloVe
python preprocessor.py 'filepath' [--dataset 'dataset name'] [override_preprocessing] [—override_model]
'filepath': the path to the data file
filepaths to ACM datasets:
Complete: '../../Datasets/ACM Digital Library/Abstract only/ACMDL_complete.csv'
First 1000: '../../Datasets/ACM Digital Library/Abstract only/ACMDL_1000.csv'
First 10000: '../../Datasets/ACM Digital Library/Abstract only/ACMDL_10000.csv'
filepaths to Recipes datasets:
Complete: '/Users/oeltayeb/Google Drive/Live/PQE/Omar/RecipeDataSummer2017/recipe_cuisine_all_tagged'
First 1000: '/Users/oeltayeb/Google Drive/Live/PQE/Omar/RecipeDataSummer2017/recipe_cuisine_all_tagged_1000'
--dataset: string, default acm
ACM: is the default dataset, which is expressed using the 'acm' string
WikiPlot: 'plots'
Recipes: 'recipes'
-override_preprocessing: use it if a new preprocessing is needed
—override_model: use it if a new model is needed
--familiarity_categories: default None
"fam_cat_file_path": the familiarity category file path; used with the input is ACMDL or WikiPlot datasets
"True": to add the categories from the same dataset file; used with the recipe dataset only