feat(ml,#12455): enrichir 2.6-Clustering-KMeans-PCA — DBSCAN + hierarchique au-dela de KMeans by jsboige · Pull Request #12652 · jsboige/CoursIA

jsboige · 2026-08-23T19:20:57Z

Grain: MED/notebook-python — lane myia-po-2024:CoursIA-2 — prev: MED/notebook-python #12577

Résumé

Volet 2/3 de #12455. Le notebook 2.6-Clustering-KMeans-PCA.ipynb ne montrait que KMeans — le clustering « en boule ». Trois sections (8-10) + un guide de choix (11) ajoutent les familles qui suivent la forme, plus 3 exercices. Chaque résultat est mesuré, pas affirmé (Prong-B : le cas discriminant est vérifié, le folklore « KMeans échoue » est remplacé par des chiffres réels).

§	Contenu
8	Formes non convexes (demi-lunes, anneaux) → KMeans échoue structurellement (frontière de Voronoï droite ⇒ cluster convexe)
9	DBSCAN — densité, sensibilité à `eps`, labels `-1` (outliers)
10	Hiérarchique agglomératif + dendrogramme ; lien simple vs complet
11	Guide de choix KMeans / DBSCAN / hiérarchique

Mesure honnête (Prong-B)

Ton cas de démonstration est choisi parce qu'il discrimine, et les chiffres sont ceux du run (pas un pitch) :

Algorithme	demi-lunes	anneaux	Lecture
KMeans (k=2)	0.48	~0	frontière droite, cluster convexe
DBSCAN (eps=0.3)	0.99	1.00	fragilité à `eps` documentée (0.2→fragmenté, 0.4→fusionné)
Hiérarchique (lien simple)	1.00	1.00	lien complet rate les anneaux (chaining/couverture)

StandardScaler avant tout clustering à distance : DBSCAN/hiérarchique mesurent des distances — c'est le point pédagogique central, mis en évidence par la mesure (sans scaling, eps dépend de l'unité de chaque axe).
L'échec KMeans n'est pas un « ~0 » hypothétique : il est mesuré à 0.48 sur les demi-lunes et ~0 sur les anneaux — un élève qui lit le tableau peut reproduire le chiffre.

Validation

Papermill : 49/49 cellules, exit 0 → execution_count + outputs cohérents (C.2).
C.1 : 0 raise NotImplementedError / assert False / 1/0 (les 3 exercices sont des stubs # TODO etudiant + print("Exercice N a completer ...")).
H.3 / null-exec : check_null_exec.py → 1 notebook OK (aucune cellule code null+sans output).
Papermill ratchet : check_papermill_ratchet.py → 0 régression.
Chemins machine : 1 warning n_jobs (cellule existante, déjà présent sur main avec <USER_PATH>) — anonymisé via strip_machine_paths.py --apply (outil sanctionné catégorie A, pas un hand-edit).

Scope

Un seul fichier : MyIA.AI.Notebooks/ML/DataScienceWithAgents/02-ML-Cours/2.6-Clustering-KMeans-PCA.ipynb (+760/−164). Catalogue byte-identique à main (aucun COURSE_CATALOG* touché). Volets 1 et 3 de #12455 restent à livrer.

Diagnostics

Aucun ## Diagnostic dérive : l'output du run correspond à la prose (G.9 — la prose a été alignée sur les valeurs mesurées pré-commit, p.ex. KMeans demi-lunes 0.26 → 0.48 après scaling).
Auditable : les chiffres ARI sont imprimés par les cellules mêmes, reproductibles.

See #12455 · Part of #12455

…chique au-dela de KMeans Volet 2 de #12455 : apres la section 7 (t-SNE/UMAP), le notebook ne montrait que KMeans. Ajout de 4 sections + 3 exercices pour couvrir les familles de clustering qui suivent la FORME, pas seulement la "boule": - §8 : forme non convexe (demi-lunes, anneaux) -> KMeans echoue structurellement (frontiere de Voronoi droite = cluster convexe) - §9 : DBSCAN — densite, sensibilite a eps, labels -1 (outliers) - §10 : hierarchique agglomeratif + dendrogramme ; lien simple vs complet - §11 : guide de choix KMeans / DBSCAN / hierarchique Mesure honnete (Prong-B) : KMeans ARI 0.48 (demi-lunes) / ~0 (anneaux) ; DBSCAN eps=0.3 ARI 0.99/1.00 mais fragile (eps 0.2 -> fragmente, 0.4 -> fusionne) ; hierarchique lien simple ARI 1.00/1.00 (complete rate les anneaux). Le StandardScaler avant tout clustering a distance est un point pedagogique central (DBSCAN/hierarchique mesurent des distances). Re-exec via papermill (49/49, exit 0), 0 erreur volontaire (C.1), execution_count + outputs coherents (C.2), H.3 OK, chemins machine anonymises via strip_machine_paths.py (<USER_PATH>). See #12455 (livraison du volet 2/3). Co-authored-by: po-2024-worker <po-2024-worker@users.noreply.github.com> Co-authored-by: po-2024 self-bot <po-2024@jsboige-CoursIA>

jsboige

[Hermes] Review vs issue #12455 (méthode matche : DBSCAN + hiérarchique dans 2.6) :

Vérifié :

Exécution réelle : papermill 2026-08-23T19:13Z, exec counts 15→20 séquentiels, durées non triviales (t-SNE 5.5s vs 4.0s ancien — cohérent re-run).
Cohérence outputs/code : sweep eps (0.2→7 clusters/ARI 0.50, 0.3→2/0.99, 0.4→1/0.00) puis choix final eps=0.3 → ARI 0.99/1.00 affiché = exactement ce que le sweep prédit. Contraste linkage single (ARI 1.00) vs complete (0.01) pédagogiquement correct pour les anneaux.
Dépendances : umap-learn optionnel avec garde d'import + message — bon pattern.
Déletions (164) : 141/163 = metadata re-execution uniquement, pas de contenu supprimé.
Security scan : clean.

Mineur (non bloquant) : l'exercice 5 (bon_eps = None) est présent mais la section dendrogram (10) n'a pas d'exercice associé — cohérent avec 2.6 si le plan exercices est ailleurs.

LGTM contenu. Approve implicite — self-review cap: COMMENT only.

github-actions · 2026-08-23T21:08:21Z

✅ No render volume delta signal (notebooks modified vs merge-base preserve >= 50% of base rendered output per MIME family).

See python scripts/notebook_tools/check_render_volume_delta.py --help for re-running locally.
Detector rationale: #11656 / #11351 pathologie (840 B remnants in 195 692 B cells = absolute detectors blind).
Why merge-base not origin/main two-dots: a branch 25+ commits behind would have the detector scan 35 notebooks the PR never touched.

github-actions · 2026-08-23T21:09:30Z

✅ No fragmented stream outputs detected.

See python scripts/notebook_tools/check_outputs_text_fragmentation.py --help for re-running locally.
Detector rationale: c.354-L2 ★★, PR #11664.

github-actions · 2026-08-23T21:11:53Z

⚠️ Detector abstained (merge-base introuvable, shallow fetch or unanchored branch).

c.415 (#11873): scope = notebooks CHANGED in this PR, not the whole corpus.
See python scripts/check_markdown_claims_output.py --help for re-running locally.
Detector rationale: c.290 / c.331 / PR #11435 pathologie.

github-actions · 2026-08-23T21:13:03Z

Golden-Set Execution (H.7 P3)

✅ 8/8 notebooks passed (certified reproducible)

Notebook	Status	Time
2.1-Workflow-ML.ipynb	✅ SUCCESS	5.2s
2.2-Descente-de-gradient.ipynb	✅ SUCCESS	4.1s
2.3-Regression-lineaire-logistique.ipynb	✅ SUCCESS	3.7s
2.4-Arbres-Forets-Ensembles.ipynb	✅ SUCCESS	4.8s
Search-1-StateSpace.ipynb	✅ SUCCESS	4.0s
SL-1-LogicalLearning.ipynb	✅ SUCCESS	2.9s
rl_4_multi_armed_bandits.ipynb	✅ SUCCESS	26.5s
GameTheory-04c-NashExistence-Python.ipynb	✅ SUCCESS	3.5s

Pinned lockfile: scripts/notebook_tools/golden_set.lock.txt (H.7 P3, axe A #4208)

github-actions · 2026-08-23T21:14:03Z

MD hierarchy drift -- `36bfeaf`

Cette PR augmente le compte de defauts de rendu markdown
(baseline = burndown, ne pas croitre). Nouveaux defauts :

  +1 HINT-AS-HEADING  MyIA.AI.Notebooks/GameTheory/GameTheory-04b-Lean-NashExistence.ipynb
  +1 HINT-AS-HEADING  MyIA.AI.Notebooks/GenAI/PostTraining/PT_11_grpo_qwen_rlvr_on_verifiers.ipynb
  -1 HINT-AS-HEADING  MyIA.AI.Notebooks/GameTheory/GameTheory-4b-Lean-NashExistence.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-1-OpenAI-TTS-Intro.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-2-OpenAI-Whisper-STT.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-3-Basic-Audio-Operations.ipynb  (burndown)
  -5 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-4-Whisper-Local.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-1-Chatterbox-TTS.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-2-XTTS-Voice-Cloning.ipynb  (burndown)
  -12 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-3-MusicGen-Generation.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-4-Demucs-Source-Separation.ipynb  (burndown)
  -4 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-5-Multi-Model-TTS-Gateway.ipynb  (burndown)
  -14 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-6-MIDI-Generation.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-7-Song-Generation.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-8-Expressive-TTS.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-9-AceStep-Music-Generation.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/03-Orchestration/03-1-Multi-Model-Audio-Comparison.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/03-Orchestration/03-2-Audio-Pipeline-Orchestration.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/03-Orchestration/03-3-Realtime-Voice-API.ipynb  (burndown)
  -10 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-1-Educational-Audio-Content.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-2-Transcription-Pipeline.ipynb  (burndown)
  -10 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-3-Music-Composition-Workflow.ipynb  (burndown)
  -13 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-4-Audio-Video-Sync.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-5-LiveCoding-LLM-Music.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-6-Audiobook-Pipeline.ipynb  (burndown)
  -12 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-7-TTS-Voice-Benchmark.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/CaseStudies/Barbie-Schreck/barbie-schreck.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/CaseStudies/Fort-Boyard/fort-boyard-python.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/CaseStudies/Medical-Chatbot/medical_chatbot.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/PostTraining/PT_11_grpo_qwen_rlvr_on_verifiers.ipynb  (burndown)
  -13 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/DecisionTheory/PyMC/DecPyMC-3-Multi-Attribute.ipynb  (burndown)
  -19 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/DecisionTheory/PyMC/DecPyMC-6-Expert-Systems.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/DecisionTheory/PyMC/DecPyMC-7-Sequential.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/Infer-101.ipynb  (burndown)
  -4 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/Infer/Infer-2-Gaussian-Mixtures.ipynb  (burndown)
  -13 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/Infer/Infer-6-Debugging.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/ML-Training-Pipeline/hmm_alpha_research.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-14-Portfolio-Construction-Execution.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-18-ML-Features-Engineering.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-19-ML-Supervised-Classification.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-24-Autoencoders-Anomaly.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-27-Production-Deployment.ipynb  (burndown)

=== drift: +2 across 2 notebook(s), 386 burned down ===

Corriger (ex. - # Indice : ... -> - **Indice :** ...) ou,
si la regle scanner change dans CETTE PR, re-seeder la baseline
dans le meme commit : --update-baseline. See #11831.

github-actions · 2026-08-23T21:15:08Z

No new degraded-mode confessions in modified notebooks (vs merge-base). Inherited confessions are tolerated by design (frozen-inheritance).

Detector: python scripts/notebook_tools/detect_degraded_mode.py <nb> --base <merge-base> --check
Rationale: #11754 / #11443 (860 KB lost while all structural gates stayed green).

github-actions · 2026-08-23T21:25:07Z

No new ASCII flowchart introductions in modified notebooks (vs merge-base). Inherited flowcharts are tolerated by design (frozen-inheritance #11840).

Detector: python scripts/notebook_tools/detect_ascii_flowchart.py <notebooks> --json
Rationale: #11962 / SW-12 cell ## 2. Architecture d'un pipeline GraphRAG (founding case, ASCII pipeline vs Mermaid flowchart LR).
Sibling scope: detect_ascii_workaround.py (#3801) targets bar charts; this organ targets flowcharts.

github-actions · 2026-08-23T22:47:46Z

Notebook PR Validation: PASS

Notebooks checked: 1
Code cells validated: 20
Result: All passed

Checks: H.1 (no errors), H.3 (execution_count), C.1 (no banned patterns)
Non-Python kernels (.NET/Lean): C.1 + errors only (execution_count advisory)
QuantConnect notebooks: C.1 + errors only (require QC Cloud for execution)

jsboige · 2026-08-24T00:57:41Z

Constat navlink-fantome (réponse à po-2025 CORRECTION msg-hy6hgx 2026-08-24T02:28Z).

Le rouge check-navlinks (et son ombre fast-lane (ombre): notebook-navlink-check) qui bloque la PR est un fantome : ai-01 l'a mesuré firsthand (msg mhnj53 du 2026-08-24T00:01Z) — la fusion de cette tête sur main courant passe rc=0, 0 nouveau cassé, 1099 notebooks scannés. Le rouge date de la merge-ref antérieure à b01ca3e (#12619, fix navlinks zero-pad de GameTheory-03d).

Pas de gh pr update-branch : chaque tête fraîche déclenche ~97 workflows, file CI saturée à 1046 runs pour 17 concurrents. Le fantome s'efface dans la même tête au prochain rebase absorbant b01ca3e (lancement par ai-01 ou un autre agent de la flotte).

Cette PR reste prête pour merge — check_unaddressed_nits.py 12652 → OK, aucun défaut propre. Garde à --ignore-red autorisé pour ce cas précis (cf règle P0 §C-d, justification par constat écrit).

Grain: aucun (constat META, 0 ligne modifiee). prev: DEEP/genai #12710 (livré c.1331p434).

github-actions · 2026-08-24T05:25:36Z

MD hierarchy drift -- `3efeeee`

Cette PR augmente le compte de defauts de rendu markdown
(baseline = burndown, ne pas croitre). Nouveaux defauts :

  +1 HINT-AS-HEADING  MyIA.AI.Notebooks/GameTheory/GameTheory-04b-Lean-NashExistence.ipynb
  +1 HINT-AS-HEADING  MyIA.AI.Notebooks/GenAI/PostTraining/PT_11_grpo_qwen_rlvr_on_verifiers.ipynb
  -1 HINT-AS-HEADING  MyIA.AI.Notebooks/GameTheory/GameTheory-4b-Lean-NashExistence.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-1-OpenAI-TTS-Intro.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-2-OpenAI-Whisper-STT.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-3-Basic-Audio-Operations.ipynb  (burndown)
  -5 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-4-Whisper-Local.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-1-Chatterbox-TTS.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-2-XTTS-Voice-Cloning.ipynb  (burndown)
  -12 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-3-MusicGen-Generation.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-4-Demucs-Source-Separation.ipynb  (burndown)
  -4 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-5-Multi-Model-TTS-Gateway.ipynb  (burndown)
  -14 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-6-MIDI-Generation.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-7-Song-Generation.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-8-Expressive-TTS.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-9-AceStep-Music-Generation.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/03-Orchestration/03-1-Multi-Model-Audio-Comparison.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/03-Orchestration/03-2-Audio-Pipeline-Orchestration.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/03-Orchestration/03-3-Realtime-Voice-API.ipynb  (burndown)
  -10 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-1-Educational-Audio-Content.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-2-Transcription-Pipeline.ipynb  (burndown)
  -10 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-3-Music-Composition-Workflow.ipynb  (burndown)
  -13 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-4-Audio-Video-Sync.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-5-LiveCoding-LLM-Music.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-6-Audiobook-Pipeline.ipynb  (burndown)
  -12 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/Audio/04-Applications/04-7-TTS-Voice-Benchmark.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/CaseStudies/Barbie-Schreck/barbie-schreck.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/CaseStudies/Fort-Boyard/fort-boyard-python.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/CaseStudies/Medical-Chatbot/medical_chatbot.ipynb  (burndown)
  -9 HEADING-IN-LIST  MyIA.AI.Notebooks/GenAI/PostTraining/PT_11_grpo_qwen_rlvr_on_verifiers.ipynb  (burndown)
  -13 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/DecisionTheory/PyMC/DecPyMC-3-Multi-Attribute.ipynb  (burndown)
  -19 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/DecisionTheory/PyMC/DecPyMC-6-Expert-Systems.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/DecisionTheory/PyMC/DecPyMC-7-Sequential.ipynb  (burndown)
  -8 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/Infer-101.ipynb  (burndown)
  -4 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/Infer/Infer-2-Gaussian-Mixtures.ipynb  (burndown)
  -13 HEADING-IN-LIST  MyIA.AI.Notebooks/Probas/Infer/Infer-6-Debugging.ipynb  (burndown)
  -15 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/ML-Training-Pipeline/hmm_alpha_research.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-14-Portfolio-Construction-Execution.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-18-ML-Features-Engineering.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-19-ML-Supervised-Classification.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-24-Autoencoders-Anomaly.ipynb  (burndown)
  -6 HEADING-IN-LIST  MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-27-Production-Deployment.ipynb  (burndown)

=== drift: +2 across 2 notebook(s), 386 burned down ===

Corriger (ex. - # Indice : ... -> - **Indice :** ...) ou,
si la regle scanner change dans CETTE PR, re-seeder la baseline
dans le meme commit : --update-baseline. See #11831.

jsboige mentioned this pull request Aug 23, 2026

ML 02-ML-Cours: completer le socle classique - naive Bayes generatif vs discriminatif, clustering DBSCAN/hierarchique, hypotheses de la regression #12455

Closed

5 tasks

jsboige commented Aug 23, 2026

View reviewed changes

This was referenced Aug 23, 2026

feat(nb,#12455): 2.3 — vérifier les hypothèses avant d'interpréter les coefficients (volet 3/3) #12659

Merged

feat(nb,#12455): 2.3b — Naive Bayes generatif vs regression logistique discriminative (volet 1/3) #12664

Merged

github-actions Bot added the pedagogy-density-below-threshold A modified notebook measures below the 1200 chars-of-prose-per-code-cell floor (#10479) label Aug 23, 2026

github-actions Bot added the machine-dep-timing-delta: 0 (1 files) label Aug 23, 2026

Merge branch 'main' into fix/repnav-428

3efeeee

github-actions Bot added machine-dep-timing-delta: 0 (1 files) and removed machine-dep-timing-delta: 0 (1 files) labels Aug 24, 2026

myia-ai-01 merged commit f014138 into main Aug 24, 2026
79 of 80 checks passed

Navigation Menu

feat(ml,#12455): enrichir 2.6-Clustering-KMeans-PCA — DBSCAN + hierarchique au-dela de KMeans - #12652

feat(ml,#12455): enrichir 2.6-Clustering-KMeans-PCA — DBSCAN + hierarchique au-dela de KMeans#12652
myia-ai-01 merged 2 commits into
mainfrom
fix/repnav-428

jsboige commented Aug 23, 2026

Uh oh!

jsboige left a comment

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026 •

edited

Loading

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

jsboige commented Aug 24, 2026

Uh oh!

github-actions Bot commented Aug 24, 2026

Uh oh!

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

Conversation

jsboige commented Aug 23, 2026

Résumé

Mesure honnête (Prong-B)

Validation

Scope

Diagnostics

Uh oh!

jsboige left a comment

Choose a reason for hiding this comment

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Golden-Set Execution (H.7 P3)

Uh oh!

github-actions Bot commented Aug 23, 2026

MD hierarchy drift -- 36bfeaf

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Uh oh!

github-actions Bot commented Aug 23, 2026

Notebook PR Validation: PASS

Uh oh!

jsboige commented Aug 24, 2026

Uh oh!

github-actions Bot commented Aug 24, 2026

MD hierarchy drift -- 3efeeee

Uh oh!

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

github-actions Bot commented Aug 23, 2026 •

edited

Loading

MD hierarchy drift -- `36bfeaf`

MD hierarchy drift -- `3efeeee`