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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 Superseded by reCTBN.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 pandas as pd
import numpy as np
import os
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):
print()
self.importer = imp.JsonImporter(files_path)
self.trajectories = None
self.structure = None
def build_trajectories(self):
self.importer.import_data()
self.importer.compute_row_delta_in_all_samples_frames()
#self.trajectories = self.importer.concatenated_samples.to_numpy()
#for traj_data_frame in self.importer.df_samples_list:
self.trajectories = tr.Trajectory(self.importer.build_list_of_samples_array(self.importer.concatenated_samples))
#self.trajectories.append(trajectory)
self.importer.clear_data_frames()
def build_structure(self):
self.structure = st.Structure(self.importer.df_structure, self.importer.df_variables)
def get_number_trajectories(self):
return len(self.trajectories)
"""os.getcwd()
os.chdir('..')
path = os.getcwd() + '/data'
s1 = SamplePath(path)
s1.build_trajectories()
s1.build_structure()
print(s1.trajectories.get_trajectory())"""