1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
|
import openturns as ot
import openturns.viewer as otv
import openturns.experimental as otexp
func = ot.SymbolicFunction(
["x1", "x2", "x3"], ["x1 + x2 + sin(x2 * 2 * pi_) / 5 + 1e-3 * x3^2"]
)
dimension = 3
distribution = ot.JointDistribution([ot.Normal()] * dimension)
sampleSize = 50
inputSample = distribution.getSample(sampleSize)
outputSample = func(inputSample)
algo = ot.LinearModelAlgorithm(inputSample, outputSample)
algo.run()
result = algo.getResult()
splitter = ot.LeaveOneOutSplitter(sampleSize)
validation = otexp.LinearModelValidation(result, splitter)
graph = validation.drawValidation()
otv.View(graph)
|
