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support experiment tracking #47

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cameronraysmith opened this issue Jan 29, 2023 · 0 comments · Fixed by #48
Closed

support experiment tracking #47

cameronraysmith opened this issue Jan 29, 2023 · 0 comments · Fixed by #48
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@cameronraysmith
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ci Continuous Integration enhancement New feature or request star Recall
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reproducibility p...

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@cameronraysmith cameronraysmith linked a pull request Jan 29, 2023 that will close this issue
add experiment tracking #48
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@cameronraysmith cameronraysmith changed the title use experiment tracking support experiment tracking Jan 29, 2023
cameronraysmith added a commit that referenced this issue Jan 29, 2023
@cameronraysmith
add experiment tracking (#48)
d4d894c 
resolves #47 

* add mlruns to gitignore

* default mlflow runs output directory

* add project dependencies

* mlflow=1.30.0
* hydra-core=1.2.0

* set hydra flag in DVC config

* explicit false default
* toggle true when using

* make target to set gh mlflow secrets

* MLFLOW_TRACKING_URI
* MLFLOW_TRACKING_USERNAME
* MLFLOW_TRACKING_PASSWORD

* add mlflow env vars to readme

* MLFLOW_TRACKING_URI
* MLFLOW_TRACKING_USERNAME
* MLFLOW_TRACKING_PASSWORD

* add mlflow logging to `_trainer.py`

* save ELBO plot to `loss_plot_path`

* log metrics in train

* only build docker on change in specified files

* add parameters to config

* lr
* train_size
* loss_plot_path

* update data lock

* ignore `loss_plot.png`

* update configuration
@cameronraysmith cameronraysmith self-assigned this Jan 30, 2023
@cameronraysmith cameronraysmith added ci Continuous Integration enhancement New feature or request labels Jan 30, 2023
@cameronraysmith cameronraysmith added the star Recall label Feb 17, 2023
cameronraysmith added a commit that referenced this issue Jan 3, 2024
@cameronraysmith
add experiment tracking (#48)
d54b19a 
resolves #47 

* add mlruns to gitignore

* default mlflow runs output directory

* add project dependencies

* mlflow=1.30.0
* hydra-core=1.2.0

* set hydra flag in DVC config

* explicit false default
* toggle true when using

* make target to set gh mlflow secrets

* MLFLOW_TRACKING_URI
* MLFLOW_TRACKING_USERNAME
* MLFLOW_TRACKING_PASSWORD

* add mlflow env vars to readme

* MLFLOW_TRACKING_URI
* MLFLOW_TRACKING_USERNAME
* MLFLOW_TRACKING_PASSWORD

* add mlflow logging to `_trainer.py`

* save ELBO plot to `loss_plot_path`

* log metrics in train

* only build docker on change in specified files

* add parameters to config

* lr
* train_size
* loss_plot_path

* update data lock

* ignore `loss_plot.png`

* update configuration
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@cameronraysmith cameronraysmith

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ci Continuous Integration enhancement New feature or request star Recall
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reproducibility pipeline
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add experiment tracking cameronraysmith/pyrovelocity
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