BreedingAIDB

ML Project

LightGBM is a gradient-boosting framework for ML originally developed by Microsoft. Optuna is an automatic hyperparameter optimization framework software. Its primary objective is to employ Optuna in exploring the optimal lightGBM model configurations within the hyperparameter space.The module will return the model in joblib format


Boosting Type and Metrics
Boosting type:
Metrics:

Estimators and Learning Rates
N_estimators:
—
Learning Rate:
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Tree Parameters
Max depth:
—
Leaves:
—
Min child:
—

Fractional Parameters
Features fraction:
—
Bagging fraction:
—

Regularization Parameters
Lambda L1:
—
Lambda L2:
—

Upload feature files generated by any algorithm, with features and labels. Labels are identified by the column named "labels".Download Example File


Address

Institute of Crop Sciences / Institute of Bioinformatics, Zhejiang University.

Any questions?

Please contact Fan's lab, bioinplant@zju.edu.cn

Supported by

nsfc    zju
Copyright©2017-2024 Institute of Crop Sciences / Institute of Bioinformatics, Zhejiang University.
Last modified at 2024-01-15