- PyExperimenter version: Any
- Database provider: Any
- Python version: Any supported
- Operating System: Any
Description
I would like functionality that syncs Weights and Biases with log tables for data visualization. Alternatively, another dashboard would do.
Proposed Approach
The function receives the name of a logtable. It then joins the logtable with the main experiment table on the experimentid and filters for finished experiments. The function that loops over each of these experiments
- Extract
keyfields and call wandb.init with their information
- Go through the logtables and call
wandb.log for every entry
- Lastly call
wandb.log for the main tables resultfields
Description
I would like functionality that syncs Weights and Biases with log tables for data visualization. Alternatively, another dashboard would do.
Proposed Approach
The function receives the name of a
logtable. It then joins the logtable with the main experiment table on the experimentid and filters for finished experiments. The function that loops over each of these experimentskeyfieldsand callwandb.initwith their informationwandb.logfor every entrywandb.logfor the main tables resultfields