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GitHub / umeshG34 / cuisine_recommendation_prediction

Used Jaccard's distance to recommend closest 5 dished based of ingredients input through command line args. predicted closest cuisine of the same.(Written May 2018)

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/umeshG34%2Fcuisine_recommendation_prediction

Stars: 1
Forks: 0
Open Issues: 6

License: None
Language: Python
Repo Size: 1.75 MB
Dependencies: 53

Created: over 5 years ago
Updated: about 4 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago

Files

Readme

Dependencies

cuisine_recommendation_prediction/requirements.txt pypi

PyPDF2 ==1.26.0
SecretStorage ==2.3.1
asn1crypto ==0.22.0
astroid ==1.6.1
backports.functools-lru-cache ==1.5
boto ==2.48.0
boto3 ==1.7.10
botocore ==1.10.10
bz2file ==0.98
certifi ==2018.4.16
chardet ==3.0.4
configparser ==3.5.0
coverage ==4.5.1
crcmod ==1.7
cryptography ==2.3
docutils ==0.14
enum34 ==1.1.6
future ==0.16.0
futures ==3.2.0
gensim ==3.4.0
google-compute-engine ==2.7.2
idna ==2.6
ipaddress ==1.0.17
isort ==4.3.4
jmespath ==0.9.3
keyring ==10.4.0
keyrings.alt ==2.2
lazy-object-proxy ==1.3.1
mccabe ==0.6.1
nltk ==3.4.5
nose ==1.3.7
numpy ==1.14.3
pdfmerge ==0.0.7
pep8 ==1.7.1
pexpect ==4.2.1
probableparsing ==0.0.1
py ==1.4.34
pycrypto ==2.6.1
pygobject ==3.24.1
pylint ==1.8.2
pytest ==3.1.3
python-crfsuite ==0.9.5
python-dateutil ==2.7.2
pyxdg ==0.26
requests ==2.20.0
s3transfer ==0.1.13
scipy ==1.0.1
singledispatch ==3.4.0.3
six ==1.11.0
smart-open ==1.5.7
urllib3 ==1.24.2
usaddress ==0.5.10
wrapt ==1.10.11