Description:
fastcan 0.2.1
FastCan is a Python implementation of the following papers.
Zhang, S., & Lang, Z. Q. (2022).
Orthogonal least squares based fast feature selection for
linear classification. Pattern Recognition, 123, 108419.
Zhang, S., Wang, T., Sun L., Worden, K., & Cross, E. J. (2024).
Canonical-correlation-based fast feature selection for
structural health monitoring.
Installation
Install FastCan via PyPi:
Run pip install fastcan
Or via conda-forge:
Run conda install -c conda-forge fastcan
Examples
>>> from fastcan import FastCan
>>> X = [[ 0.87, -1.34, 0.31 ],
... [-2.79, -0.02, -0.85 ],
... [-1.34, -0.48, -2.55 ],
... [ 1.92, 1.48, 0.65 ]]
>>> y = [0, 1, 0, 1]
>>> selector = FastCan(n_features_to_select=2, verbose=0).fit(X, y)
>>> selector.get_support()
array([ True, True, False])
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
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