Kaggler

Code for Kaggle Data Science Competitions

MIT License

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Ecosystems: Python
Kaggler - v0.9.15 Latest Release

Published by jeongyoonlee over 2 years ago

What's Changed

Full Changelog: https://github.com/jeongyoonlee/Kaggler/compare/v0.9.14...v0.9.15

Kaggler - v0.9.14

Published by jeongyoonlee over 2 years ago

What's Changed

Full Changelog: https://github.com/jeongyoonlee/Kaggler/compare/v0.9.13...v0.9.14

Kaggler - v0.9.13

Published by jeongyoonlee over 3 years ago

  • add transfer learning with the pretrained_model input argument 
  • allow to set the learning_rate in __init__()
  • add a test for transfer learning between DAE/SDAE
Kaggler - v0.9.12

Published by jeongyoonlee over 3 years ago

  • make label_encoding=True default in DAE/SDAE
Kaggler - v0.9.11

Published by jeongyoonlee over 3 years ago

  • fix an error raised when printing out the DAE/SDAE objects
  • update random_state/seed arguments in DAE/SDAE/DAELayer to follow scikit-learn/tensorflow conventions
  • up the version to v0.9.11
Kaggler - v0.9.10

Published by jeongyoonlee over 3 years ago

  • add options to add more than 1 encoder in DAELayer
  • add options to add validation_data in DAE/SDAE
  • make label-encoding optional in DAE/SDAE
Kaggler - v0.9.9

Published by jeongyoonlee over 3 years ago

  • fix #56: DAE/SDAE's transform() changes the input dataframe.
Kaggler - v0.9.8

Published by jeongyoonlee over 3 years ago

  • hotfix SDAE
Kaggler - v0.9.7

Published by jeongyoonlee over 3 years ago

  • add SDAE, supervised denoising AutoEncoder
Kaggler - v0.9.5

Published by jeongyoonlee over 3 years ago

  • copy dataframe before transforming it in encoders to prevent overwriting
  • update the default threshold for feature selection in automl
  • fix DAE with all numeric features
Kaggler - v0.9.0

Published by jeongyoonlee over 3 years ago

  • add DAE to kaggler.preprocessing
  • code clean-up and linting
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