tensorflow / tensorflow/tensorboard
In colab, load tensorboard settings from the command line: %tensorboard --settings
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Description
Every time I start colab and tensorboard, I have to select the same settings, which is quite boring.
If possible, I'd like to ask to control the "settings", for example (scalars Smoothing = 0.99)
with this command
%tensorboard --logdir="{BOARD_PATH}"
--scalars-smoothing=0.99
--Ignore-outliers-in-chart-scaling=False
and maybe even:
select the (multple) data to be shown, on the base of the folder name? --run="Jun08_10-40-47"
toggle full size mode
thanks
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Research direction
Start with the %tensorboard command and its existing --logdir handling, then trace how Scalars smoothing and chart outlier settings are represented. Define which command-line settings are in scope, including the requested run selection and full-size mode, and verify that supported values are reflected in Colab.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript
- Domain
- cli
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 32/100