Changelog¶

v0.2.1¶

An error related to the processing of categorical data with too many categories has been corrected.
Removed -march=native flag in the build script to avoid the use of instruction sets not available on some CPUs.

Added conditional linear Gaussian networks (CLGNetworkType, CLGNetwork, ConditionalCLGNetwork and DynamicCLGNetwork).
Implemented ChiSquare (and DynamicChiSquare) indepencence test.
Implemented MutualInformation (and DynamicMutualInformation) indepencence test. This independence test is valid for hybrid data.
Implemented BDe (Bayesian Dirichlet equivalent) score (and DynamicBDe).
Added UnknownFactorType as default FactorType for Bayesian networks when the node type could not be deduced.
Added Assignment class to represent the assignment of values to variables.

API changes:

Added method Score.data().
Added BayesianNetworkType.data_default_node_type() for non-homogeneous BayesianNetworkType.
Added constructor for HeterogeneousBN to specify a default FactorType for each data type. Also, it adds HeterogeneousBNType.default_node_types() and HeterogeneousBNType.single_default().
Added BayesianNetworkBase.has_unknown_node_types() and BayesianNetworkBase.set_unknown_node_types().
Changed signature of BayesianNetworkType.compatible_node_type() to include the new node type as argument.
Removed FactorType.opposite_semiparametric(). This functionality has been replaced by BayesianNetworkType.alternative_node_type().
Included model as argument of Operator.opposite().
Added method OperatorSet.set_type_blacklist(). Added a type blacklist argument to ChangeNodeTypeSet constructor.