Open akihironitta opened 3 years ago
It would be nice to have interactive plots instead of the current screenshots of losses and metrics on tensorboard in our docs.
We can employ sphinx-plotly-directive like Optuna, a hyperparameter optimization framework, does in their docs.
sphinx-plotly-directive
Source
.. plotly:: >>> import plotly.express as px >>> px.scatter(x=[0, 1, 2, 3, 4], y=[0, 1, 4, 9, 16])
Output
Suggested by @Borda http://nipy.org/nipy/devel/guidelines/sphinx_helpers.html#inserting-matplotlib-plots
see an alternative with basic matplotlib: http://nipy.org/nipy/devel/guidelines/sphinx_helpers.html#inserting-matplotlib-plots
📚 Documentation
It would be nice to have interactive plots instead of the current screenshots of losses and metrics on tensorboard in our docs.
We can employ
sphinx-plotly-directive
like Optuna, a hyperparameter optimization framework, does in their docs.Example
Source
Output
Alternative
Suggested by @Borda http://nipy.org/nipy/devel/guidelines/sphinx_helpers.html#inserting-matplotlib-plots