Add distributed server implementation and protocol definitions
- Introduced `protocol.py` for shared data models used in server/client communication, including request and response schemas for registration, job submission, and status updates. - Implemented `server.py` to manage a SQLite job queue and client registry, handling job polling, status updates, and job completion. - Created a cheat sheet for server usage, detailing commands for starting the server, submitting jobs, and monitoring clients. - Added several experiment configuration files for various training setups, including geometry vector injections and baseline ensembles.
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{ "_note": "tritower grid pilot (3 reps each) — 3 bcd × 2 cw × 3 nt_epochs = 18 cells", "run_name": "experiments/tri_v1/grid/bcd35_cw0_nt15", "reps": 3, "overrides": { "training": { "bcd_prob": 0.35, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 15 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd35_cw0_nt25", "reps": 3, "overrides": { "training": { "bcd_prob": 0.35, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 25 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd35_cw0_nt36", "reps": 3, "overrides": { "training": { "bcd_prob": 0.35, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 36 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd35_cw1_nt15", "reps": 3, "overrides": { "training": { "bcd_prob": 0.35, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 15 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd35_cw1_nt25", "reps": 3, "overrides": { "training": { "bcd_prob": 0.35, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 25 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd35_cw1_nt36", "reps": 3, "overrides": { "training": { "bcd_prob": 0.35, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 36 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd50_cw0_nt15", "reps": 3, "overrides": { "training": { "bcd_prob": 0.50, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 15 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd50_cw0_nt25", "reps": 3, "overrides": { "training": { "bcd_prob": 0.50, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 25 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd50_cw0_nt36", "reps": 3, "overrides": { "training": { "bcd_prob": 0.50, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 36 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd50_cw1_nt15", "reps": 3, "overrides": { "training": { "bcd_prob": 0.50, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 15 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd50_cw1_nt25", "reps": 3, "overrides": { "training": { "bcd_prob": 0.50, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 25 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd50_cw1_nt36", "reps": 3, "overrides": { "training": { "bcd_prob": 0.50, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 36 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd75_cw0_nt15", "reps": 3, "overrides": { "training": { "bcd_prob": 0.75, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 15 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd75_cw0_nt25", "reps": 3, "overrides": { "training": { "bcd_prob": 0.75, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 25 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd75_cw0_nt36", "reps": 3, "overrides": { "training": { "bcd_prob": 0.75, "class_weighted": false } }, "stage_overrides": { "nt": { "epochs": 36 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd75_cw1_nt15", "reps": 3, "overrides": { "training": { "bcd_prob": 0.75, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 15 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd75_cw1_nt25", "reps": 3, "overrides": { "training": { "bcd_prob": 0.75, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 25 } } },
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{ "run_name": "experiments/tri_v1/grid/bcd75_cw1_nt36", "reps": 3, "overrides": { "training": { "bcd_prob": 0.75, "class_weighted": true } }, "stage_overrides": { "nt": { "epochs": 36 } } }
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]
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