Usage

To use this package, import it:

from sklearn.datasets import make_classification
from sklearn import linear_model
from feature_selection_ga import FeatureSelectionGA, FitnessFunction
X, y = make_classification(n_samples=100, n_features=15, n_classes=3,
                           n_informative=4, n_redundant=1, n_repeated=2,
                           random_state=1)

model = linear_model.LogisticRegression(solver='lbfgs', multi_class='auto')
fsga = FeatureSelectionGA(model,X,y, ff_obj = FitnessFunction())
pop = fsga.generate(100)

#print(pop)

TODO: Document usage