v0.1.0

Updates

• Distribution API

  • Add the "product of normal distributions" classes, ProductOfNormal and ElementWiseProductOfNormal.(#70)
  • Add the multinomial distribution (#64, #67, #68)

• Loss API

  • Add Maximum Mean Discrepancy (MMD). (#60)
  • Add the Wasserstein distance (WassersteinDistance). (#60)
  • Add inverse multi-quadratic radial basis function (RBF) kernel. (#60)
  • Remove the log_likelihood method. (#62)
  • Remove the NLL class. (#62)
  • Add LogProb and Prob instead of NLL. (#62)
  • Add log_prob and prob methods in Distribution API each of which performs as the instance of LogProb and Prob respectively. (#62)
  • Rename the LossExpectation class to Expectation. (#62)
  • Add the expectation method in Loss API as the instance of the Expectation class. (#62)
  • Rename the estimation method in Loss API to eval (followed by model.eval() on PyTorch). (#62)

• Flow modules

  • Remove the old flow implementations (#62)
  • Add flow modules (#71)

• Others

  • Update docstrings
  • Add doctest (#67, #69)
  • Change the way of writing formulas to latex codes (#75)
  • Add a print_latex method which can display formulas of Distribution/Loss/Model API in latex format (#75).

v0.1.0-alpha.2

Updates

• Add docstrings
• Fix critical bugs in Distribution

v0.1.0-alpha.1

Updates

• Add the multinomial distribution (#64, #67, #68)
• Add doctest (#67, #69)
• Add the "product of normal distributions" classes, ProductOfNormal and ElementWiseProductOfNormal.(#70)
• Add flow modules (#71)
• Change the way of writing formulas to latex codes (#75)
• Add a print_latex method which can display formulas of Distribution/Loss/Model API in latex format (#75).

v0.1.0-alpha.0

Updates

• Add Maximum Mean Discrepancy (MMD). (#60)
• Add the Wasserstein distance (WassersteinDistance). (#60)
• Add inverse multi-quadratic radial basis function (RBF) kernel. (#60)
• Remove the log_likelihood method. (#62)
• Remove the NLL class. (#62)
• Add LogProb and Prob instead of NLL. (#62)
• Add log_prob and prob methods in Distribution API each of which performs as the instance of LogProb and Prob respectively. (#62)
• Rename the LossExpectation class to Expectation. (#62)
• Add the expectation method in Loss API as the instance of the Expectation class. (#62)
• Rename the estimation method in Loss API to eval (followed by model.eval() on PyTorch). (#62)
• Remove flow implementations for now. (#62)