Note

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Simulate an EventΒΆ

In this example we are going to define an Event from a scalar variable Y in the form:

Y > T

with T a scalar threshold

import openturns as ot

ot.Log.Show(ot.Log.NONE)

Create model f(x) = x1 + 2*x2

model = ot.SymbolicFunction(["x1", "x2"], ["x1+2*x2"])

# Create the input distribution and random vector X
inputDist = ot.Normal(2)
inputDist.setDescription(["X1", "X2"])

inputVector = ot.RandomVector(inputDist)

# Create the output random vector Y=f(X)
outputVector = ot.CompositeRandomVector(model, inputVector)

Create the event Y > 3

threshold = 3.0
event = ot.ThresholdEvent(outputVector, ot.Greater(), threshold)

Realization as a Bernoulli

print("realization=", event.getRealization())

realization= [0]

Sample of 10 realizations as a Bernoulli

print("sample=", event.getSample(10))

sample=     [ y0 ]
0 : [ 0  ]
1 : [ 0  ]
2 : [ 0  ]
3 : [ 0  ]
4 : [ 0  ]
5 : [ 0  ]
6 : [ 0  ]
7 : [ 0  ]
8 : [ 0  ]
9 : [ 0  ]

Build a standard event based on an event

standardEvent = ot.StandardEvent(event)