Documentation
中文 (简体)
搜索文档…
⌃K
中文 (简体)
Weights & Biases
Quickstart (快速上手)
Examples (示例)
Library (库)
Integrations (集成)
Pytorch
Keras
Tensorflow
Hugging Face
MMDetection
Fast.ai
PyTorch Lightning
JAX Example
Scikit
XGBoost
LightGBM
TensorBoard
SageMaker
PyTorch Ignite
Kubeflow
Docker
Jupyter
Databricks
Ray Tune
Catalyst
Skorch
SimpleTransformers
OpenAI Gym
Numpy Example
Dashboard
Reports (报告)
Sweeps
Artifacts
Self Hosted
Company (公司)
Marketing Site
由
GitBook
提供支持
LightGBM
利用我们的回调函数,只需 要一行代码就可以把LightGBM的性能可视化。
from
wandb
.
lightgbm
import
wandb_callback
import
lightgbm
as
lgb
....
gbm
=
lgb
.
train
(
params
,
lgb_train
,
num_boost_round
=
20
,
valid_sets
=
lgb_eval
,
valid_names
=
(
'validation'
),
callbacks
=
[
wandb_callback
()])
若要查看完整代码示例,请进入我们的
示例仓库
,或者用
Colab
笔记本。
以前
XGBoost
下一个
TensorBoard
最近更新
1yr ago