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feat;i mprocving setup

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Daniel Rosel
2026-04-10 08:24:03 +02:00
parent ece06a5a50
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SETUP.md
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@@ -129,7 +129,7 @@ The platform **observes** behavioral proxies and quoted prices, not the latent d
**Paths for data and runs:** Override with `PHANTOM_DATA_DIR`, `PHANTOM_SIM_RUNS_DIR`, `PHANTOM_MODEL_REGISTRY_DIR`, `PHANTOM_COLLECTED_DATA_DIR`, etc. (`[lib/config.py](lib/config.py)`). **Paths for data and runs:** Override with `PHANTOM_DATA_DIR`, `PHANTOM_SIM_RUNS_DIR`, `PHANTOM_MODEL_REGISTRY_DIR`, `PHANTOM_COLLECTED_DATA_DIR`, etc. (`[lib/config.py](lib/config.py)`).
**Honest scope:** A new vertical (custom product ontology, checkout rules, pricing rules) means **new UI, events, and possibly new reward features** in the engine. Budget engineering time; the repo is a research platform, not a turnkey SaaS skin for arbitrary catalogs without code changes. **Scope:** A new vertical (custom product ontology, checkout rules, pricing rules) means **new UI, events, and possibly new reward features** in the engine. Budget engineering time; the repo is a research platform, not a turnkey SaaS skin for arbitrary catalogs without code changes.
### Theoretical implications ### Theoretical implications
@@ -250,11 +250,11 @@ Non-stationary noise $\epsilon_t$ and drifting $\alpha$ confound benchmark inter
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## 14. Roadmap / gaps (honesty) ## 14. Roadmap and gaps
**Relatively turnkey:** Local dockerized stack, demo verticals, engine benchmarks, documented env and paths. **In repo:** Local dockerized stack, demo verticals, engine benchmarks, documented env and paths.
**Typically custom:** Production catalog without Supabase, identity/fraud layers, legal review of logging, Kafka/Airflow SLAs, hardening the pricing provider for real money. **Usually custom:** Production catalog without Supabase, identity/fraud layers, legal review of logging, Kafka/Airflow SLAs, hardening the pricing provider for real money.
**Thesis vs code:** The PDF is the **spec**; not every robustness term or large-catalog kernel construction is production-verified—see caveats in **Chapter 3**. **Thesis vs code:** The PDF is the **spec**; not every robustness term or large-catalog kernel construction is production-verified—see caveats in **Chapter 3**.
@@ -295,4 +295,4 @@ Use the **PDF table of contents** with these anchors:
| `[tpu_orchestration/](tpu_orchestration/)` | TPU configs and helpers. | | `[tpu_orchestration/](tpu_orchestration/)` | TPU configs and helpers. |
You do **not** need a running storefront for many **offline** benchmarks if the research Python environment is installed; you **do** need aligned instrumentation to connect production trajectories to kernel estimation. Many offline benchmarks run without a storefront once the research Python environment is installed; connecting production trajectories to kernel estimation still requires aligned instrumentation.