UAIWriter

class pgmpy.readwrite.UAIWriter(model, round_values=None)

Bases: object

Initialize an instance of UAI writer class

Parameters:

model: A Bayesian or Markov model

The model to write

round_values: int (default: None)

The number to decimals to which to round the probability values. If None, keeps all decimals points.

Examples

>>> from pgmpy.readwrite import UAIWriter
>>> from pgmpy.example_models import load_model
>>> model = load_model("bnlearn/asia")
>>> writer = UAIWriter(asia)
>>> writer.write("asia.uai")

get_domain()

Adds domain of each variable to the network.

Examples

>>> from pgmpy.readwrite import UAIWriter
>>> writer = UAIWriter(model)
>>> writer.get_domain()

get_functions()

Adds functions to the network.

Examples ——-_ >>> from pgmpy.readwrite import UAIWriter >>> writer = UAIWriter(model) >>> writer.get_functions()

get_nodes()

Adds variables to the network.

Examples

>>> from pgmpy.readwrite import UAIWriter
>>> writer = UAIWriter(model)
>>> writer.get_nodes()

get_tables()

Adds tables to the network.

Examples

>>> from pgmpy.readwrite import UAIWriter
>>> writer = UAIWriter(model)
>>> writer.get_tables()

write(filename)

Write the xml data into the file.

Parameters:

filename: Name of the file.

Examples

>>> from pgmpy.readwrite import UAIWriter
>>> from pgmpy.example_models import load_model
>>> model = load_model("bnlearn/asia")
>>> writer = UAIWriter(asia)
>>> writer.write("asia.uai")

write_uai(filename)