TabNet Classifier

Example

from pytorch_tabnet.tab_model import TabNetClassifier
import numpy as np
X = np.random.rand(100, 10)
y = np.random.randint(0, 2, size=(100,))
clf = TabNetClassifier()
clf.fit(X_train=X, y_train=y)
preds = clf.predict(X)