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...mark/master/_downloads/02ebaaff0fbfc2d6c398818b1ca6b2f8/plot_nloscillator_sensitivity.zip
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otbenchmark/master/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip
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otbenchmark/master/_downloads/0858c32d4ca24003a0282ef1c2c2936c/plot_rp33.py
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""" | ||
RP33 analysis and 2D graphics | ||
============================= | ||
""" | ||
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# %% | ||
# The objective of this example is to present problem 33 of the BBRC. | ||
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# %% | ||
import otbenchmark as otb | ||
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# %% | ||
problem = otb.ReliabilityProblem33() | ||
print(problem) | ||
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# %% | ||
event = problem.getEvent() | ||
g = event.getFunction() | ||
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# %% | ||
problem.getProbability() | ||
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# %% | ||
inputVector = event.getAntecedent() | ||
distribution = inputVector.getDistribution() | ||
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# %% | ||
inputDimension = distribution.getDimension() | ||
inputDimension | ||
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# %% | ||
alpha = 1 - 0.00001 | ||
bounds, marginalProb = distribution.computeMinimumVolumeIntervalWithMarginalProbability( | ||
alpha | ||
) | ||
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# %% | ||
referencePoint = distribution.getMean() | ||
referencePoint | ||
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# %% | ||
crossCut = otb.CrossCutFunction(g, referencePoint) | ||
_ = crossCut.draw(bounds) | ||
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# %% | ||
# Plot cross-cuts of the distribution | ||
# ----------------------------------- | ||
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# %% | ||
crossCut = otb.CrossCutDistribution(distribution) | ||
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# %% | ||
_ = crossCut.drawMarginalPDF() | ||
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# %% | ||
inputVector = event.getAntecedent() | ||
event = problem.getEvent() | ||
g = event.getFunction() | ||
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# %% | ||
sampleSize = 5000 | ||
sampleInput = inputVector.getSample(sampleSize) | ||
sampleOutput = g(sampleInput) | ||
drawEvent = otb.DrawEvent(event) | ||
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# %% | ||
_ = drawEvent.drawLimitState(bounds) | ||
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# %% | ||
sampleSize = 500 | ||
_ = drawEvent.drawSample(sampleSize) | ||
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# %% | ||
_ = drawEvent.fillEvent(bounds) |
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otbenchmark/master/_downloads/0cd6cd41d72a62b46520ec1e64ebcbe3/plot_drawevent.zip
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otbenchmark/master/_downloads/3b7d7d1e5ac85f5851d053b621d84d4d/plot_draw_cross_cuts.zip
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otbenchmark/master/_downloads/3f2f5008640b2a9bf5fb56d17e3345fe/plot_gsobol_sensitivity.zip
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otbenchmark/master/_downloads/546015264311e3d42fe9b9adf5f7d337/plot_rp55.zip
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otbenchmark/master/_downloads/5fab7882172318ff3e3ffcf48ef9eddf/plot_ishigami_sensitivity.zip
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otbenchmark/master/_downloads/629687dd8581020f5bdda375e12cf702/plot_gaussian_sum.zip
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otbenchmark/master/_downloads/66b4d9d63c28c108996cfe858ca9289e/plot_morris_sensitivity.zip
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