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Releases: jeongyoonlee/Kaggler

v0.9.15

06 Mar 06:13
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What's Changed

Full Changelog: v0.9.14...v0.9.15

v0.9.14

05 Mar 22:53
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What's Changed

Full Changelog: v0.9.13...v0.9.14

v0.9.13

12 Jun 14:14
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  • 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

v0.9.12

12 Jun 11:55
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  • make label_encoding=True default in DAE/SDAE

v0.9.11

10 Jun 17:12
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  • 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

v0.9.10

08 Jun 13:59
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  • 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

v0.9.9

04 Jun 20:10
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  • fix #56: DAE/SDAE's transform() changes the input dataframe.

v0.9.8

02 Jun 01:39
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  • hotfix SDAE

v0.9.7

01 Jun 23:53
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  • add SDAE, supervised denoising AutoEncoder

v0.9.5

18 May 16:54
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  • 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