instarecsys 0.1.3

recommend system for instacart dataset

INSTARECSYS

DESCRIPTION

This package is for make recommendation on instacart dataset for entry users

For recommendation used two features:

• total quantity of purchase same item
• add to cart order

Some features of this package:

• loading fast dataset (using engine - 'pyarrow' of pandas library)
• reduce size of dataset used memory by changing type of values
• easy to use. Just load dataset - build features - make recommendation
• recommendation for: all users, set of users, one user
• have build in sample dataset

INSTALLATION

Use the package manager pip to install instarecsys.

pip install instarecsys

USAGE

# import
from instarecsys import Insta

# create Insta instance
my_insta = Insta()

# we load sample dataset which is build in this library
df = my_insta.load_sample()

# make features
df_final = my_insta.feature(df)

# make recommendation for one user
recsys_one_user = my_insta.recommend(df_final, users = [1])

# make recommendation fo set of users
recsys_set_users = my_insta.recommend(df_final, users = [1, 2, 7])

# make recommendation for all users
recsys_all_users = my_insta.recommend(df_final)

LICENSE

MIT

CONTACTS

my e-mail: [e-mail]

any suggestions, questions, discussion always welcome.