Group Project for CSE6242
To install packages, run:
pip install -r requirements.txtNote that it is assumed that you have Python 2.7+ (not 3.X), as well as Pandas and Numpy. If not, please install these first.
python run.pyRunning the development server allows you to change files and the server will recognize the changes and restart. To run the development server, run
export DEBUG=True
python run.pyRun
python init_db.pyBe patient as it will take a while. It should update on it's progress.
You can test the clustering by starting a flask shell by running.
export FLASK_APP=run.py
flask shellThe shell will provide a few pre-imported classes including the flask database and all of the current models.
Clustering and filtering can be performed by calling the function
Recipe.cluster_on_filters(clust_fact, *args) where clust_fact is the cluster
sensitivity of the DBSCAN algorithm and *args are alternating arguments of
db.Model and name of entry. An few examples of this are shown below.
Recipe.cluster_on_filters(0.7, Course, 'Main course', Diet, 'Vegan')
Recipe.cluster_on_filters(0.7, Ethnicity, 'American')Grouping and filtering can be performed by calling
Recipe.group_on_filters(*args) where *args are the name of entry;
Recipe.group_on_filters(Ethnicity)
Recipe.group_on_filters(Diet, Ethnicity)