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fix(probas,#17222): PyMC-02 -- convention code[N] posee, 'creux' -> 'pics/retards' #18271

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myia-ai-01 merged 2 commits into from
Sep 29, 2026
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fix(probas,#17222): PyMC-02 -- convention code[N] posee, 'creux' -> 'pics/retards' #18271

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fix(probas,#17222): PyMC-02 -- convention code[N] posee, 'creux' -> '…
jsboige Sep 28, 2026
a6e7349
fix(probas,#18271): rebaseline twin-pair Probas-2 Gaussian-Mixtures (…
Sep 28, 2026
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7 changes: 5 additions & 2 deletions MyIA.AI.Notebooks/Probas/PyMC/PyMC-02-Gaussian-Mixtures.ipynb
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"- Predire et calculer des probabilites\n",
"- Implémenter un mélange de gaussiennes (GMM) pour gérer les événements extraordinaires\n",
"\n",
"**Prerequis** : PyMC-1, bases de statistique (loi normale, prior conjugue)\n"
"**Prerequis** : PyMC-1, bases de statistique (loi normale, prior conjugue)\n",
"\n",
"**Convention de numerotation `code[N]`** : `code[0]` designe la cellule de setup (imports et version PyMC) ; `code[N]` pour N >= 1 designe la N-ieme cellule code utile, dans l'ordre ou elle apparait dans le notebook. Les autres notebooks du depot utilisent la numerotation canonique 1-indexee ; ce notebook-ci preserve sa convention locale par souci de continuite pedagogique.\n",
"\n"
]
},
{
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"tags": []
},
"source": [
"Les données contiennent des **événements extraordinaires** (creux de 21-27 min) en plus des trajets normaux (~16 min). Un Modèle a une seule gaussienne ne capture pas cette structure.\n",
"Les données contiennent des **événements extraordinaires** (pics vers 28-35 min, soit des retards), en plus des trajets normaux (~16 min). Un Modèle a une seule gaussienne ne capture pas cette structure.\n",
"\n",
"### Strategie\n",
"\n",
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6 changes: 6 additions & 0 deletions ...tools/twin_pairs.d/probas-2-gaussian-mixtures/0019-2026-09-28-myia-po-2027-CoursIA-2.yaml
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date: '2026-09-28'
by: myia-po-2027:CoursIA-2
python_sha: ea85d3b8b9fd4a952886bbf16bbe445a4bb8db65
csharp_sha: 256abd27e087bfec399fc01d9783c1a2531c4309
content_python_sha: 3edd9dfd633f22be64099d98fea252a255156da0492ade40f4ea4f9b115d8a97
content_csharp_sha: 6ad93d79962c259841b8d992a652c10fd9f885e064188ff95d513cad2cb91d11
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