TabNet Regressor

Example

from pytorch_tabnet.tab_model import TabNetRegressor
import numpy as np
X = np.random.rand(100, 10)
y = np.random.rand(100, 1)
reg = TabNetRegressor()
reg.fit(X_train=X, y_train=y)
preds = reg.predict(X)