Comments (1)
vruusmann
commented on May 21, 2024
1
Looks like imodels classifiers only work with binary classification problems.
The iris dataset deals with a multi-class classification problem. The code snippet can be fixed by transforming the label from multi-class to binary:
from sklearn.datasets import load_iris
from imodels import RuleFitClassifier
import numpy
iris = load_iris()
X, y = iris.data, iris.target
# THIS! Predict if the iris species is "virginica" or not
y = numpy.where(y == 2, 1, 0)
#print(y)
rulefit = RuleFitClassifier()
rulefit.fit(X, y)
print(rulefit)from imodels.
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from imodels.