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Training crashes when "monotone_constraints_method" is set to "advanced" #6841

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@sv1990

Description

@sv1990

Description

Training crashes when "monotone_constraints_method" is set to "advanced" and at least one feature is categorical but "monotone_constraints" is not defined.

The crash is fixed by setting "monotone_constraints", but according to the documentation "monotone_constraints_method" should not be used unless "monotone_constraints" is set.

Reproducible example

import lightgbm as lgb
import numpy as np
import pandas as pd

size = 60
df = pd.DataFrame(
    {
        "x": np.random.uniform(size=size),
        "c": pd.Categorical(np.random.choice([0, 1, 2], size=size, replace=True)),
        "y": np.random.uniform(size=size),
    }
)

lgb.train(
    {
        "monotone_constraints_method": "advanced",
        # "monotone_constraints": "0,0",
    },
    lgb.Dataset(df[["x", "c"]], df["y"], categorical_feature="auto"),
)

Environment info

LightGBM version or commit hash: '4.6.0'

Command(s) you used to install LightGBM

poetry add lightgbm

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