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Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍 https://github.com/madlabunimib/PyCTBN
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PyCTBN/main_package/classes/sample_path.py

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import json_importer as imp
import trajectory as tr
import structure as st
class SamplePath:
"""
Contiene l'aggregazione di una o più traiettorie e la struttura della rete.
Ha il compito dato di costruire tutte gli oggetti Trajectory e l'oggetto Structure
a partire dai dataframe contenuti in self.importer
:importer: l'oggetto Importer che ha il compito di caricare i dataset
:trajectories: lista di oggetti Trajectories
:structure: oggetto Structure
"""
def __init__(self, files_path, samples_label, structure_label, variables_label, time_key, variables_key):
self.importer = imp.JsonImporter(files_path, samples_label, structure_label,
variables_label, time_key, variables_key)
self._trajectories = None
self._structure = None
self.total_variables_count = None
def build_trajectories(self):
self.importer.import_data()
self._trajectories = \
tr.Trajectory(self.importer.build_list_of_samples_array(self.importer.concatenated_samples),
len(self.importer.sorter) + 1)
#self.trajectories.append(trajectory)
self.importer.clear_concatenated_frame()
def build_structure(self):
self.total_variables_count = len(self.importer.sorter)
self._structure = st.Structure(self.importer.structure, self.importer.variables,
self.total_variables_count)
@property
def trajectories(self):
return self._trajectories
@property
def structure(self):
return self._structure
def total_variables_count(self):
return self.total_variables_count
"""def build_possible_values_variables_structure(self):
possible_val_list = []
print(self.importer.variables)
for cardinality in self.importer.variables['Value']:
possible_val_list.append(list(range(0, cardinality)))
self.possible_variables_values = possible_val_list"""