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Releases: BBEK-Anand/PyTorchLabFlow

Major Update with New Features!

18 Oct 20:57

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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

06 Dec 01:50

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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

18 Nov 21:40

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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

09 Nov 19:11

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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

07 Oct 10:15
f2705a4

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Access collate function of dataset class which should be defined as static method.