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@ishii-norimi ishii-norimi released this 24 Sep 04:28
· 313 commits to main since this release
v0.12.0
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Learn about vigilant mode.

Improve

  • Accept tensor class in layers #297
  • Improve conv layer #299
  • Add pooling layers #303
  • Analytically compute det and eigenvalues of 4th order matrix #305
  • Add ADAMENN #308
  • Improve A2C #327
  • Add Semi-supervised Naive Bayes #331
  • Add CLUES #334
  • Add Winnow #337
  • Add Voted perceptron #342
  • Add learning rate parameter for Voted perceptron #344
  • Add Kernelized perceptron #348
  • Add Pegasos #354
  • Add Selective sampling perceptron and its adaptive version and Selective sampling second-order Perceptron #355
  • Add Margin perceptron (PAM) #361
  • Add PAUM #363
  • Add Kernelized pegasos #364
  • Add Shifting perceptron and RBP #367
  • Add Budget perceptron #368
  • Add internal parameter to the gaussian kernel of the Kernelized perceptron #370
  • Implement fixed-size cache version of Budget perceptron #372

Bug fix

  • Fix and improve convolutional layer #296
  • Fix broadcastOperate of tensor class #302
  • Fix importance calculation of DecisionTree class #313
  • Improve and fix dropout layer #318
  • Change default threshold of Winnow #339

Breaking changes

  • Separate averaged perceptron from perceptron #351
  • Fix return type of the Mean shift fit function #359

Minor changes

  • Improve test #314
  • Improve isZero function of Matrix class #325
  • Change some fixed values to properties #335
  • Improve test #350
  • Format and fix some tests #374
  • Update version to 0.12.0 #375

Full Changelog: v0.11.0...v0.12.0

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