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Request branch2 #22
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Request branch2 #22
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Test de la classe RequestedBBRCProblem\n", | ||
"\n", | ||
"L'objectif de cet exemple est de présenter l'utilisation de la classe RequestedBBRCProblem" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import openturns as ot\n", | ||
"import otbenchmark as otb" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"output_type": "stream", | ||
"name": "stdout", | ||
"text": "RP8\n" | ||
} | ||
], | ||
"source": [ | ||
"problem = otb.RequestedBBRCProblem(\"testuser\", \"testpass\", -1, 1)\n", | ||
"print(problem.name)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"event = problem.getEvent()\n", | ||
"g = event.getFunction()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"output_type": "execute_result", | ||
"data": { | ||
"text/plain": "0.0007888456943755395" | ||
}, | ||
"metadata": {}, | ||
"execution_count": 4 | ||
} | ||
], | ||
"source": [ | ||
"problem.getProbability()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Create the Monte-Carlo algorithm\n", | ||
"algoProb = ot.ProbabilitySimulationAlgorithm(event)\n", | ||
"algoProb.setMaximumOuterSampling(10)\n", | ||
"algoProb.setMaximumCoefficientOfVariation(0.01)\n", | ||
"algoProb.run()" | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Please insert a comment that explains that your intent in selecting a low value of the maximumOuterSampling : it is chosen to make a fast example, but a more realistic parameter value (e.g. 1000) should be chosen in practice. This will clarify your motivations in the example. Please insert the code to print the estimated probability, because it is the concrete goal of the example but add a comment that explains that, because of the low value of the maximumOuterSampling, the estimate is not very accurate. |
||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "python3_cours", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.7.6-final" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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set_id,problem_id,reliability_problem_id,beta | ||
-1,1,8,3.16 | ||
-1,2,22,2.64 | ||
1,1,14,2.42 | ||
1,2,24,2.76 | ||
1,3,28,5.11 | ||
1,4,31,3.58 | ||
1,5,38,2.48 | ||
1,6,53,1.86 | ||
1,7,54,3.09 | ||
1,8,63,3.36 | ||
1,9,75,2.33 | ||
1,10,107,5.0 | ||
1,11,111,4.81 | ||
1,12,201,3.7 | ||
1,13,203,4.92 | ||
1,14,213,3.45 | ||
1,15,300,3.88 | ||
1,16,301,3.81 | ||
2,1,25,4.36 | ||
2,2,33,2.80 | ||
2,3,35,2.70 | ||
2,4,55,-0.15 | ||
2,5,57,1.91 | ||
2,6,60,1.70 | ||
2,7,77,5.0 | ||
2,8,89,2.55 | ||
2,9,91,3.19 | ||
2,10,110,4.0 | ||
2,11,202,3.43 |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Please translate it into english.