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qlib/examples/model_interpreter/feature.py
Linlang 3097dcc995 fix(security): use RestrictedUnpickler in load_instance (#2153)
* fix(security): enforce RestrictedUnpickler for load_instance to prevent unsafe pickle deserialization

* fix: lint error
2026-03-10 20:45:38 +08:00

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Python

# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import qlib
from qlib.constant import REG_CN
from qlib.utils import init_instance_by_config
from qlib.tests.data import GetData
from qlib.tests.config import CSI300_GBDT_TASK
if __name__ == "__main__":
# use default data
provider_uri = "~/.qlib/qlib_data/cn_data" # target_dir
GetData().qlib_data(target_dir=provider_uri, region=REG_CN, exists_skip=True)
qlib.init(provider_uri=provider_uri, region=REG_CN)
###################################
# train model
###################################
# model initialization
model = init_instance_by_config(CSI300_GBDT_TASK["model"])
dataset = init_instance_by_config(CSI300_GBDT_TASK["dataset"])
model.fit(dataset)
# get model feature importance
feature_importance = model.get_feature_importance()
print("feature importance:")
print(feature_importance)