Skip to main content

Grey Relation Analysis and Grey Model Prediction

Project description

PyGrey

This toolkit provides implementation of Grey Relation Analysis and Grey Model Prediction.

Example

  • Grey Relation Analysis (GRA)
from pygrey.gra import *
# Grey Relation Analysis (GRA)
# load data from an Excel file
gra=GRA(data_path='data/data.xlsx',use_cols=[0,1,2,3])
# run the model
gra.run(show_fig=True)
  • Grey Model Prediction (GM(1,1))
from pygrey.gm import *
# Sequence
X0 = [7413.7, 7579, 7739.2, 7696, 7787.7, 7584.1, 7489, 7355, 7138]
# X axis
t = 1996
dt = 1
# Number of prediction
num_prediction = 2
# Grey model
gm=GM(x=X0,t=t,dt=dt,num_prediction=num_prediction)
# run the model
gm.run(show_figure=True)

Other GM implementation:

from pygrey.gm_v2 import *
ls = [7413.7, 7579, 7739.2, 7696, 7787.7, 7584.1, 7489, 7355, 7138]
gm = GM()
gm.fit(ls)
print("Confidennce = ",gm.confidence())
print("X0 = ",ls)
print("Prediction = ", gm.predict(m=4))

License

The pygrey project is provided by Donghua Chen.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygrey-0.0.1a1.tar.gz (14.6 kB view details)

Uploaded Source

Built Distribution

pygrey-0.0.1a1-py3-none-any.whl (12.7 kB view details)

Uploaded Python 3

File details

Details for the file pygrey-0.0.1a1.tar.gz.

File metadata

  • Download URL: pygrey-0.0.1a1.tar.gz
  • Upload date:
  • Size: 14.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pygrey-0.0.1a1.tar.gz
Algorithm Hash digest
SHA256 d270723179cb1e72f4c71e6152ff9a6ac265eb6a5eee3d7ac11b8c5bbded6baf
MD5 815fac8a11170310f58933bdecbe819c
BLAKE2b-256 fb61d24bff5540221f55aa3e6059d007db140a85afce90085a53a54ff9551b09

See more details on using hashes here.

Provenance

File details

Details for the file pygrey-0.0.1a1-py3-none-any.whl.

File metadata

  • Download URL: pygrey-0.0.1a1-py3-none-any.whl
  • Upload date:
  • Size: 12.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for pygrey-0.0.1a1-py3-none-any.whl
Algorithm Hash digest
SHA256 11885ef8064573487cfa4ba58d18e348cb98b9ea0fe4fc6d105194a3f264c5a2
MD5 ac8084757dfdc08ebf7a19a3655e827f
BLAKE2b-256 a9673e8e71bda7593de5ddc1926890f3ff469f30d64b159cbd554b406a57cf61

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page