Changelog
v1.0.0
This version implies a change in the way of using the EDAs.
All EDAs extend an abstract class so, all EDAs have the some outline and the same minimize function.
The cost function is now used only for the minimize function, so it is easier to be used.
The probabilistic models and initialization models are treated separately from the EDA implementations so the user is able to decide whether to use a probabilistic model or other in the EDAs custom implementation.
Th user is able to export and read the configuration of and EDA in order to re-use the same implementation in the future.
All the EDA implementations have their own name according to the state-of-the-art of EDAs.
More tests have been added.
Documentation has been redone.
Deprecation warning to TimeSeries selector. This class will be formatted. in following versions.
The structure in the package has been removed and also the names.
The implementation of EGAN with evidences has been removed to avoid having rpy2 as a dependency.
v0.2.0
Time series transformations selection was added as a new functionality of the package.
Added a notebooks section to show some real use cases of EDAspy. (3 implementations)
v0.1.2
Added tests
v0.1.1
Fixed bugs.
Added documentation to readdocs.
v0.1.0
First operative version 4 EDAs implemented.
univariate EDA discrete.
Univariate EDA continuous.
Multivariate continuous EDA with evidences
Multivariate continuous EDA with no evidences gaussian distribution.