This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

A Python Library to attack the problem of Fusion Information. Dempster-Shafer Theory implemention is our first goal.

pip install evidencetheory


from evidence.theory import dst # load dempster-shafer functions
from evidenec.tests.assets import INPUT
print INPUT['bba1'] # path for the bba example

Knowing the format of file bba1:

bba = []
with open(INPUT['bba1'], 'r') as f:
    N = int(f.readline())
    for _  in range(N):
        bba += [ float(f.readline()) ]
print bba # verify a table with values between 0 and 1

We want to get a Belief function Bel from a table bba (basic belief assignament function), so the following is how to do that:

bel1 = dst.Bel(m=bba)
for i in range(1<<len(bba)):
    print bel1(A=i) # i is a set represents in binary form.

For now, please review code in evidence.theory.dst.

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
evidencetheory-0.0.1.tar.gz (4.6 kB) Copy SHA256 Checksum SHA256 Source Mar 3, 2015

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