{ "fit_method": "gradient", "io_init": { "in_dim": 3, "out_dim": 500, "representation": "model init dimensions (not runtime output shape semantics)", "x_names": [ "teff", "logg", "feh" ], "y_names": [ "flux" ] }, "io_pattern": "array->array", "model_family_id": "mlp_v1", "provenance": { "dependencies": { "flax": "0.10.4", "jax": "0.4.38", "numpy": "2.3.5", "optax": "0.2.5" }, "git_sha": "72e167d2c8d68abc1e2c6c4b2503e06f3a375537", "platform": "macOS-26.3.1-x86_64-i386-64bit", "python_version": "3.12.11", "saved_at_utc": "2026-03-13T02:55:33.972802+00:00", "toolkit": "astro_emulators_toolkit", "toolkit_version": "0.1.0" }, "resolved": { "model": { "name": "mlp", "params": { "activation": "gelu", "dtype": "float32", "hidden_sizes": [ 128, 128 ], "use_bias": true } }, "solver": { "name": "gradient", "params": {} }, "task": { "name": "regression", "params": { "loss": "mse", "loss_weights": null, "metric_axes": null, "metrics": [ "mse", "mae" ] } } }, "runtime_contract": { "affine_leaf_shapes": { "inputs/feh": [], "inputs/logg": [], "inputs/teff": [], "outputs/flux": [ 500 ] }, "input_name_tree": [ "teff", "logg", "feh" ], "io_pattern": "array->array", "output_name_tree": "flux" }, "schema_version": 1, "spec": { "input_domain": { "kind": "box_v1", "space": "runtime_tree_v1", "storage": { "filename": "input_domain.safetensors", "format": "safetensors_v1", "layout": "tree_minmax_v1" } }, "notes": "Inputs are min-max scaled before training using the fixed bounds stored in this bundle. 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