Hi, I am trying to run the coffee cup example with dependant variables. I am passing the dependant distribution to the Uncertainpy as Parameters(distribution=joint_mvNorm), which later fails with an error. I am using the following code:
#!/usr/bin/env python
# coding: utf-8
import uncertainpy as un
import chaospy as cp
import numpy as np
from scipy.integrate import odeint
import matplotlib.pyplot as plt
def coffee_cup_dependent(T_env, alpha):
# Initial temperature and time
time = np.linspace(0, 200, 150) # Minutes
T_0 = 95 # Celsius
# The equation describing the model
def f(T, time, alpha, T_env):
return -alpha*(T - T_env)
# Solving the equation by integration.
temperature = odeint(f, T_0, time, args=(alpha, T_env))[:, 0]
# Return time and model results
return time, temperature
model = un.Model(run=coffee_cup_dependent, labels=["Time (min)", "Temperature (C)"])
#alpha, T_env
mean_param = [0.2, 20]
cov_param = [[0.0005, 0.01], [0.01, 1.5]]
joint_mvNorm = cp.MvNormal(mean_param, cov_param)
parameters = un.Parameters(distribution=joint_mvNorm)
# Set up the uncertainty quantification
UQ = un.UncertaintyQuantification(model=model, parameters=parameters)
# Perform the uncertainty quantification using polynomial chaos with point collocation (by default)
data = UQ.quantify(method="pc",
pc_method="collocation",
rosenblatt=True,
uncertain_parameters=None,
polynomial_order=4,
nr_collocation_nodes=None,
quadrature_order=None,
nr_pc_mc_samples=10**4,
nr_mc_samples=10**4,
allow_incomplete=False,
seed=None,
single=False,
plot="condensed_first",
figure_folder="figures",
figureformat=".png",
save=True,
data_folder="data",
filename=None,)
Running the script above produces an error:
Traceback (most recent call last):
File "coffee_cup_dep_ucpy.py", line 92, in <module>
data = UQ.quantify(method="pc",
File "/Users/Juraj/anaconda3/envs/uncertainpy/lib/python3.9/site-packages/uncertainpy/uncertainty.py", line 415, in quantify
data = self.polynomial_chaos(uncertain_parameters=uncertain_parameters,
File "/Users/Juraj/anaconda3/envs/uncertainpy/lib/python3.9/site-packages/uncertainpy/uncertainty.py", line 702, in polynomial_chaos
self.data = self.uncertainty_calculations.polynomial_chaos(
File "/Users/Juraj/anaconda3/envs/uncertainpy/lib/python3.9/site-packages/uncertainpy/core/uncertainty_calculations.py", line 1345, in polynomial_chaos
self.create_PCE_collocation_rosenblatt(uncertain_parameters=uncertain_parameters,
File "/Users/Juraj/anaconda3/envs/uncertainpy/lib/python3.9/site-packages/uncertainpy/core/uncertainty_calculations.py", line 925, in create_PCE_collocation_rosenblatt
dist_R = cp.J(*dist_R)
File "/Users/Juraj/anaconda3/envs/uncertainpy/lib/python3.9/site-packages/chaospy/distributions/operators/joint.py", line 54, in __init__
super(J, self).__init__(
File "/Users/Juraj/anaconda3/envs/uncertainpy/lib/python3.9/site-packages/chaospy/distributions/baseclass/distribution.py", line 73, in __init__
assert min(rotation) == 0
ValueError: min() arg is an empty sequence
Hi, I am trying to run the coffee cup example with dependant variables. I am passing the dependant distribution to the Uncertainpy as
Parameters(distribution=joint_mvNorm)
, which later fails with an error. I am using the following code:Running the script above produces an error:
My environment: