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Releases: ComputationalDesignLab/scimlstudio

v1.6.3

09 Mar 22:19

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Full Changelog: v1.6.2...v1.6.3

Added a feature to track gradient during neural network prediction

v1.6.2

09 Mar 21:11
6990477

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Full Changelog: v1.6.1...v1.6.2

v1.6.1

09 Mar 21:06
70a5811

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Full Changelog: v1.6.0...v1.6.1

Removed no grad context from NN model prediction.

v1.6.0

09 Mar 20:43
1f2b23f

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What's Changed

  • Proper orthogonal decomposition implementation and initial autoencoder implementation added by @Abhijnan03 in #9

Full Changelog: v1.5.1...v1.6.0

v1.5.1

27 Feb 18:25

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Full Changelog: v1.5.0...v1.5.1

Updated test cases for MFNN and corrected package version

v1.5.0

23 Feb 06:27
a9b4f40

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What's Changed

  • Add multifidelity nn model by @pkck28 in #8

Full Changelog: v1.4.0...v1.5.0

v1.4.0

09 Feb 00:34
424ca67

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What's Changed

Full Changelog: v1.3.1...v1.4.0

v1.3.1

05 Feb 01:49

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What's Changed

  • Single output Gaussian process model device bug fixed by @Abhijnan03 in #6
  • Setup file was updated to reflect the latest release version by @Abhijnan03

Full Changelog: v1.3.0...v1.4.0

v1.3.0

02 Feb 00:27

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What's Changed

  • Base class for Gaussian process models was created and added by @pkck28
  • Base models folder was created and added by @pkck28
  • Single output Gaussian process model implementation was created and added by @Abhijnan03 in #5
  • Setup file was updated to reflect the latest release version
  • Test cases for Gaussian process models were added by @Abhijnan03 in a commit separate from the pull request mentioned above

Full Changelog: v1.2.0...v1.3.0

v1.2.0

20 Jan 02:25
40f75bc

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What's Changed

  • Radial basis function model implementation was added by @Abhijnan03 in #4

Full Changelog: v1.1.0...v1.2.0