Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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50 lines
1.5 KiB
50 lines
1.5 KiB
import pandas as pd
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import numpy as np
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import os
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import json_importer as imp
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import trajectory as tr
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import structure as st
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class SamplePath:
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"""
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Contiene l'aggregazione di una o più traiettorie e la struttura della rete.
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Ha il compito dato di costruire tutte gli oggetti Trajectory e l'oggetto Structure
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a partire dai dataframe contenuti in self.importer
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:importer: l'oggetto Importer che ha il compito di caricare i dataset
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:trajectories: lista di oggetti Trajectories
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:structure: oggetto Structure
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"""
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def __init__(self, files_path):
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print()
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self.importer = imp.JsonImporter(files_path)
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self.trajectories = None
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self.structure = None
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def build_trajectories(self):
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self.importer.import_data()
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self.importer.compute_row_delta_in_all_samples_frames()
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#self.trajectories = self.importer.concatenated_samples.to_numpy()
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#for traj_data_frame in self.importer.df_samples_list:
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self.trajectories = tr.Trajectory(self.importer.build_list_of_samples_array(self.importer.concatenated_samples))
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#self.trajectories.append(trajectory)
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self.importer.clear_data_frames()
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def build_structure(self):
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self.structure = st.Structure(self.importer.df_structure, self.importer.df_variables)
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def get_number_trajectories(self):
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return len(self.trajectories)
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"""os.getcwd()
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os.chdir('..')
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path = os.getcwd() + '/data'
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s1 = SamplePath(path)
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s1.build_trajectories()
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s1.build_structure()
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print(s1.trajectories.get_trajectory())"""
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