Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
28 lines
819 B
28 lines
819 B
import pandas as pd
|
|
import numpy as np
|
|
|
|
|
|
class Trajectory():
|
|
"""
|
|
Rappresenta una traiettoria come un numpy_array contenente n-ple (indx, T_k,S_i,.....,Sj)
|
|
Offre i metodi utili alla computazione sulla struttura stessa.
|
|
|
|
Una Trajectory viene costruita a partire da una lista di numpyarray dove ogni elemento rappresenta una colonna
|
|
della traj
|
|
|
|
:actual_trajectory: il numpy_array contenente la successione di n-ple (indx, T_k,S_i,.....,Sj)
|
|
|
|
"""
|
|
|
|
def __init__(self, list_of_columns):
|
|
self.actual_trajectory = np.array(list_of_columns, dtype=object).T
|
|
|
|
def get_trajectory(self):
|
|
return self.actual_trajectory
|
|
|
|
def size(self):
|
|
return self.actual_trajectory.shape[0]
|
|
|
|
def merge_columns(self, list_of_cols):
|
|
return np.vstack(list_of_cols).T
|
|
|
|
|