Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Right now (0.3.4+) there is an option to add extra plots, with
extra_plots=[func1, ...]
wherefunc1
is a functionfunc1(logs)
drawing a subplot (vide a2546b7). See e.g. https://github.com/stared/thinking-in-tensors-writing-in-pytorch/blob/master/5%20Nonlinear%20regression.ipynb for an exampleThe idea is to be able to add any plots.
Though to make it more general, some things require initialization, so it is reasonable to create objects (e.g. binding data, or models, or prediction functions).
I want to create subplots in the spirit of TensorFlow Playground and Scikit-learn classifier comparison among other examples.
Open to feedback on the class structure, as well as other custom plots.