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Add LightGBM example (#44)
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docs/guides/frameworks/lightgbm/lightgbm_example.md
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docs/guides/frameworks/lightgbm/lightgbm_example.md
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---
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title: LightGBM
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---
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The [lightgbm_example](https://github.com/allegroai/clearml/blob/master/examples/frameworks/lightgbm/lightgbm_example.py)
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script demonstrates the integration of ClearML into code that uses LightGBM.
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The example script does the following:
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* Creates a dataset for LightGBM to train a model
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* Specifies configuration which are automatically captured by ClearML
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* Saves model which ClearML automatically captures
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* Creates an experiment named `LightGBM`, which is associated with the `examples` project.
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## Scalars
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The scalars logged in the experiment can be visualized in a plot, which appears in the ClearML web UI, in the **experiment's page > RESULTS > SCALARS**.
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## Hyperparameters
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ClearML automatically logs the configurations applied to LightGBM. They appear in **CONFIGURATIONS > HYPER PARAMETERS > GENERAL**.
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## Artifacts
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Model artifacts associated with the experiment appear in the info panel of the **EXPERIMENTS** tab and in the info panel of the **MODELS** tab.
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## Console
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All other console output appears in **RESULTS > CONSOLE**.
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@ -68,6 +68,7 @@ module.exports = {
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{
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'Keras': ['guides/frameworks/keras/allegro_clearml_keras_tb_example', 'guides/frameworks/keras/jupyter', 'guides/frameworks/keras/keras_tensorboard']
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},
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{'LightGBM': ['guides/frameworks/lightgbm/lightgbm_example']},
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{'Matplotlib': ['guides/frameworks/matplotlib/allegro_clearml_matplotlib_example', 'guides/frameworks/matplotlib/matplotlib_example']},
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{
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'Pytorch': ['guides/frameworks/pytorch/pytorch_distributed_example', 'guides/frameworks/pytorch/pytorch_matplotlib',
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