def __init__(self, network, datastore: bayesianpy.data.DataSet,
logger: logging.Logger):
self._logger = logger
self._datastore = datastore
# serialise the network as a string.
if isinstance(network, bayesianpy.network.Network):
self._network = network.to_xml()
else:
from xml.dom import minidom
nt = network.saveToString()
reparsed = minidom.parseString(nt)
self._network = reparsed.toprettyxml(indent=" ")
def __init__(self, network, datastore: bayesianpy.data.DaskDataset):
self._logger = logging.getLogger(__name__)
self._datastore = datastore
# serialise the network as a string.
if isinstance(network, bayesianpy.network.Network):
self._network = network.to_xml()
else:
from xml.dom import minidom
nt = network.saveToString()
reparsed = minidom.parseString(nt)
self._network = reparsed.toprettyxml(indent=" ")
if not isinstance(datastore.get_dataframe(), dd.DataFrame):
raise ValueError("Dataframe has to be of type Dask.DataFrame")