Input/Output Formats for Bayesian Networks

PyAgrum supports several formats for saving and loading graphical models, but not all formats preserve every feature of the models. Below is a guide to the supported formats and their capabilities.

Supported Formats

Warning

Only Pickle and BIFXML formats guarantee complete preservation of all graphical model features Other formats may lose some of this information during serialization.

BIFXML (Recommended for complete preservation)

The BIFXML format is the recommended way to save and load graphical models as it preserves all features and attributes of the model. This format is particularly useful for interoperability with other Bayesian network tools.

Pickle (Alternative for complete preservation)

The Python pickle format

Other Supported Formats

The following formats are supported but may not preserve all model features:

Net (.net): Standard format for Bayesian networks but may lose some metadata
DSL (.dsl): GeNIe format with some limitations
UAI (.uai): Very Simple Format for Bayesian networks and Markov networks with limitations
BIF (.bif): Format for Bayesian networks with limitations
etc. (see pyagrum.availableBNExts() for a complete list).