monotonic1
Load the Yandex dataset with monotonic constraints. This dataset contains categorical features.
This dataset can be used for regression.
It contains several numerical and categorical features.
The contents of columns depends on the name or on the pattern of the name of the corresponding column:
-
Target(the first column) — Target values. -
Cat*— Categorical features. -
Num*— Numerical features. -
MonotonicNeg*— Numerical features, for which monotonic constraints must hold.If values of such features decrease, then the prediction value must not decrease. Thus, if there are two objects and with all features being equal except for a monotonic negative feature M, such that , then the following inequality must be met for predictions:
Method call format
monotonic1()
Type of return value
A two pandas.DataFrame tuple (for train and validation datasets).
Usage examples
from catboost.datasets import monotonic1
monotonic1_train, monotonic1_test = monotonic1()
print(monotonic1_train.head(3))
The output of this example:
Target Num0 Cat0 Cat1 Cat2 Cat3 ... MonotonicNeg10 Num24 Num25 Num26 Num27 Num28
0 0.011655 0.078947 20e17f9f3b3e82f1aaff5b98b03cd8ac 7a5b46681f07babda8b98d095458a000 772e5fb884f6c15057b1d3ed9a8cf8b2 eccf825029482fceedeb96f3dfccb7d4 ... 0.019833 0.220801 0.088723 0.316292 0.999997 0.999994
1 0.011655 0.039474 c1ce747b53bb9886fd3814788bd6016a 8a36f4f35f490a01466c5c9a682db621 68d0b1837ca49afba289deb74715c363 e1e1db28712431600d2df4d63c872701 ... 0.000727 0.847325 0.999976 0.811932 0.017582 0.999994
2 0.000000 0.144737 f880f22c2c9a2f8711ef66785f26bcc3 6b6f19508a3baa90b3503b7b2c0d784f 4342d5154ad04acc6ce1031bc3c488c0 ba34b6b8c8b64d9c80d859caa0b314ed ... 0.018917 0.996521 0.249741 0.175907 0.004534 0.999994