Skip to content

Commit e27e1fe

Browse files
committed
docs: add COSMO example notebook and update changelog
1 parent 30d0f7b commit e27e1fe

2 files changed

Lines changed: 3 additions & 3 deletions

File tree

‎CHANGELOG.md‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -9,7 +9,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
99

1010
### Added
1111

12-
- Add `HelloWorld.ipynb` notebook to documentation for onboarding [\#69](https://github.com/mllam/neural-lam/issues/69) @info-gallary
12+
- Add `COSMO_example.ipynb` notebook to documentation for onboarding [\#69](https://github.com/mllam/neural-lam/issues/69) @info-gallary
1313

1414
### Fixed
1515

‎docs/notebooks/COSMO_example.ipynb‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -6,7 +6,7 @@
66
"source": [
77
"# COSMO Example: End-to-End Model Training and Inference\n",
88
"\n",
9-
"This notebook provides a lightweight, end-to-end demonstration of the **Neural-LAM** workflow using a COSMO-structured setup. It is designed to be runnable on a **CPU** using synthetic/reduced data, allowing you to verify your environment and the training pipeline without requiring massive datasets or high-end GPUs.\n",
9+
"This notebook provides a lightweight, end-to-end demonstration of the **Neural-LAM** workflow using a COSMO-structured setup. It is designed to be an **onboarding guide** runnable on a **CPU** using synthetic/reduced data. This allows you to verify your environment and the training pipeline without requiring the massive datasets or high-end GPUs used in the full paper reproduction.\n",
1010
"\n",
1111
"The workflow follows these steps:\n",
1212
"1. **Environment Setup**: Installation and imports.\n",
@@ -34,6 +34,7 @@
3434
"import os\n",
3535
"import numpy as np\n",
3636
"import xarray as xr\n",
37+
"import pandas as pd\n",
3738
"import torch\n",
3839
"import yaml\n",
3940
"from pathlib import Path\n",
@@ -92,7 +93,6 @@
9293
" ds.to_zarr(path, mode=\"w\")\n",
9394
" print(f\"Synthetic Zarr created at {path}\")\n",
9495
"\n",
95-
"import pandas as pd\n",
9696
"create_synthetic_zarr(WORKDIR / \"cosmo_sample.zarr\")"
9797
]
9898
},

0 commit comments

Comments
 (0)