Releases: BBEK-Anand/PyTorchLabFlow
Releases · BBEK-Anand/PyTorchLabFlow
Major Update with New Features!
What is Changed
- [feature] introducing Component
- [feature] searching/ filtering pipelines that shares components
- [doc] documentation in readthedocs
- [test] added testcases
- [readme] updated readme file
0.2
added remark to each experiment
-
if a config is newly initialises remark="New" [Default] however you can change it to other description like -
if you use a existed ppl without trained weight it takes remark="<used_ppl_name>" -
but if you use with trained weights it takes remark="<used_ppl_name>[<best_epoch_of the given ppl>]"
corrected use_ppl
0.1.9
v0.1.9
- improved performance_plot
adding legend in single experiment plot - PipeLine.train( adding patient )
set pateint value to stop training if there are no improvement in validation loss.
bug fixed in use_ppl, multi_train, archive, delete
some syntax errors have been fixed
0.1.8.6
Only update in performance_plot
- Easy comparison of experiments: The performance_plot function now supports plotting performance metrics for multiple pipelines.
- Customizable Plot Size: Added figsize parameter to control the plot’s aspect ratio.
Full Changelog: 0.1.8.5...0.1.8.6
Full Changelog: 0.1.8.5...0.1.8.6
0.1.8.5
Access collate function of dataset class which should be defined as static method.