Generation of database¶
- class pyAgrum.BNDatabaseGenerator(bn)¶
BNDatabaseGenerator is used to easily generate databases from a pyAgrum.BayesNet.
- Parameters
bn (pyAgrum.BayesNet) – the Bayesian network used to generate data.
- database()¶
- drawSamples(nbSamples)¶
- Parameters
nbSamples (
int) –- Return type
float
- log2likelihood()¶
- Return type
float
- samplesAt(row, col)¶
- Parameters
row (
int) –col (
int) –
- Return type
int
- samplesLabelAt(row, col)¶
- Parameters
row (
int) –col (
int) –
- Return type
str
- samplesNbCols()¶
- Return type
int
- samplesNbRows()¶
- Return type
int
- setAntiTopologicalVarOrder()¶
- Return type
None
- setRandomVarOrder()¶
- Return type
None
- setTopologicalVarOrder()¶
- Return type
None
- setVarOrder(*args)¶
- Return type
None
- setVarOrderFromCSV(*args)¶
- Return type
None
- toCSV(*args)¶
- Return type
None
- toDatabaseTable(useLabels=True)¶
- to_pandas(with_labels=True)¶
export the samples as a pandas.DataFrame.
- Parameters
with_labels (bool) – is the DataFrame full of labels of variables or full of index of labels of variables
- varOrder()¶
- Return type
object
- varOrderNames()¶
- Return type
List[str]