Closed stared closed 5 years ago
Right now (0.3.4+) there is an option to add extra plots, with extra_plots=[func1, ...] where func1 is a function func1(logs) drawing a subplot (vide a2546b7ca9ae4111835017b227379ad8b35f891a). See e.g. https://github.com/stared/thinking-in-tensors-writing-in-pytorch/blob/master/5%20Nonlinear%20regression.ipynb for an example
extra_plots=[func1, ...]
func1
func1(logs)
The 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.
Some other ideas for plots to be implemented:
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 a2546b7ca9ae4111835017b227379ad8b35f891a). 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.