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lucastheis committed Jul 16, 2016
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44 changes: 25 additions & 19 deletions CHANGELOG.md
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# CMT

## 0.6.0

- Added limited MATLAB interface
- Improved Python 3 compatibility
- Bug fixes

## 0.5.0

- Regularizers are now more flexible.
- Several bug fixes and stability improvements.
- Added binomial distribution.
- Added StackedAffineTransform.
- Regularizers are now more flexible
- Several bug fixes and stability improvements
- Added binomial distribution
- Added StackedAffineTransform

## 0.4.1

- Added multinomial logistic regression (MLR).
- Added function for sampling images conditioned on component labels.
- Extended MCGSM by additional parameters.
- Added multinomial logistic regression (MLR)
- Added function for sampling images conditioned on component labels
- Extended MCGSM by additional parameters

## 0.4.0

- Added spike-triggered mixture model (STM).
- Added simple univariate distributions such as Bernoulli and Poisson.
- Added generalized linear model (GLM) and fully-visible belief network (FVBN).
- Added mixture of Gaussian scale mixture (MoGSM).
- Added *PatchMCGSM*.
- Extended MCGSM by linear features and means.
- Made implementation of new conditional models easier by introducing interface *Trainable*.
- Most methods of *MCGSM* can now cope with zero-dimensional inputs.
- Added spike-triggered mixture model (STM)
- Added simple univariate distributions such as Bernoulli and Poisson
- Added generalized linear model (GLM) and fully-visible belief network (FVBN)
- Added mixture of Gaussian scale mixture (MoGSM)
- Added *PatchMCGSM*
- Extended MCGSM by linear features and means
- Made implementation of new conditional models easier by introducing interface *Trainable*
- Most methods of *MCGSM* can now cope with zero-dimensional inputs

## 0.3.0

- Implemented *early stopping* based on validation error.
- Implemented *early stopping* based on validation error

## 0.2.0

- Implemented mixture of conditional Boltzmann machines (MCBM).
- Implemented *PatchMCBM*.
- Extended tools for generating data from images and videos.
- Implemented mixture of conditional Boltzmann machines (MCBM)
- Implemented *PatchMCBM*
- Extended tools for generating data from images and videos
2 changes: 1 addition & 1 deletion code/cmt/python/__init__.py
@@ -1,2 +1,2 @@
__all__ = ["models", "transforms", "tools", "utils", "nonlinear"]
__version__ = "1.5.1a"
__version__ = "0.6.0"

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