PyIFS
A python3 package for infinite feature selection
Installation
$ pip install PyIFS
How to use
import PyIFS
inf = PyIFS.InfFS()
[RANKED, WEIGHT] = inf.infFS(x, y, alpha, supervision, verbose)
INPUT:
xis a T by n matrix, where T is the number of samples and n the number of featuresyis a column vector with class labelsalphais the mixing parametersupervisionis a boolean variable (0 = unsupervised version, 1 = supervised version)verboseis a boolean variable (0, 1)
OUTPUT:
RANKEDare indices of columns inxordered by attribute importanceWEIGHTare attribute weights with large positive weights assigned to important attributes
2 maintainers
Metadata
2 maintainers
Release files for PyIFS 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| PyIFS-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for PyIFS-0.0.3-py3-none-any.whl |
Total release size: 7.2 kB
Release files / PyIFS-0.0.3.tar.gz
| Download URL | PyIFS-0.0.3.tar.gz |
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| Size | 3.0 kB |
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Release files / PyIFS-0.0.3-py3-none-any.whl
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| Tags | Python 3 |
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Security for PyIFS 0.0.3
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