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datmo.json
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35 lines (35 loc) · 1.21 KB
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{
"base_model_definition_id": null,
"base_model_definition_owner_username": null,
"base_model_definition_slug": null,
"base_snapshot_id": null,
"best_snapshot_id": null,
"categories": null,
"config_json": null,
"created_at": "2017-08-18T01:11:16.619Z",
"data_contract_id": null,
"datmo_path": "anands/dsi-datmo-pycon-workshop",
"datmo_remote_url": "https://datmo.io/anands/dsi-datmo-pycon-workshop",
"description": "Linear regression example using engineering graduates exam scores and salaries from DSI curriculum",
"env_meta": null,
"flags": 1,
"git_remote_url": "https://github.com/dsindia/datmo-workshop",
"git_rev": null,
"id": "xe3gdsgbv7yq",
"is_owner": true,
"is_public": true,
"name": "DSI + Datmo PyCon Workshop",
"owner_email": "anand@datmo.io",
"readme": null,
"repo_created_at": "2017-08-18T01:03:47.000Z",
"repo_forks_count": 0,
"repo_language": "Jupyter Notebook",
"repo_provider": "github",
"repo_size": 0,
"repo_updated_at": "2017-08-18T01:08:58.000Z",
"repo_watchers_count": 0,
"slug": "dsi-datmo-pycon-workshop",
"tags": null,
"updated_at": "2017-08-18T01:55:16.601Z",
"username": "anands"
}