In [16]:
import numpy as np
import openturns as ot
from depimpact import ConservativeEstimate, quantile_func, iterative_vine_minimize
from depimpact.iterative_vines import IterativeDependenceResults
%matplotlib inline
%load_ext autoreload
%autoreload 2
In [25]:
dim = 4
results = IterativeDependenceResults(dim)
n_iterations = 5
for i in range(1, dim):
for j in range(i):
results[i, j] = [i, j]
In [4]:
i, j = 1, 0
results[i, j] = 1
In [ ]: