GitHub - Akshay-B-Sonawane/Bayesian-Networks---Chow-Liu-algo

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Name		Name	Last commit message	Last commit date
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.gitattributes		.gitattributes
.gitignore		.gitignore
README		README
README.txt		README.txt
Report.pdf		Report.pdf
accidents.test.data		accidents.test.data
accidents.ts.data		accidents.ts.data
accidents.valid.data		accidents.valid.data
baudio.test.data		baudio.test.data
baudio.ts.data		baudio.ts.data
baudio.valid.data		baudio.valid.data
bnetflix.test.data		bnetflix.test.data
bnetflix.ts.data		bnetflix.ts.data
bnetflix.valid.data		bnetflix.valid.data
chow_liu.py		chow_liu.py
dna.test.data		dna.test.data
dna.ts.data		dna.ts.data
dna.valid.data		dna.valid.data
jester.test.data		jester.test.data
jester.ts.data		jester.ts.data
jester.valid.data		jester.valid.data
kdd.test.data		kdd.test.data
kdd.ts.data		kdd.ts.data
kdd.valid.data		kdd.valid.data
msnbc.test.data		msnbc.test.data
msnbc.ts.data		msnbc.ts.data
msnbc.valid.data		msnbc.valid.data
nltcs.test.data		nltcs.test.data
nltcs.ts.data		nltcs.ts.data
nltcs.valid.data		nltcs.valid.data
part1.py		part1.py
plants.test.data		plants.test.data
plants.ts.data		plants.ts.data
plants.valid.data		plants.valid.data
r52.test.data		r52.test.data
r52.ts.data		r52.ts.data
r52.valid.data		r52.valid.data

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The following datasets are included in this file.
(1) nltcs
(2) msnbc
(3) kdd
(4) plants
(5) baudio
(6) jester
(7) bnetflix
(8) accidents
(9) r52
(10) dna

Filenames ending with .ts.data denote training dataset.
Filenames ending with .valid.data denote validation dataset.
Filenames ending with .test.data denote test dataset.

All datasets are binary, namely each variable takes values from the domain {0,1} and use the following format. Each line is a comma separated assignment of values to all variables. Thus, each line is an example and the number of lines in the file denotes the number of examples.

It is easy to load the datasets in python. For example, you can use:
dataset=np.loadtxt(filename,delimiter=',')