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Submitting example #6

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c256cf5
Submitting example
eacharles Apr 10, 2026
5b6897e
updates for tasksets 3 and 4
eacharles Jun 5, 2026
1ed6e12
move download area
eacharles Jun 5, 2026
bd5b2ce
fix url
eacharles Jun 11, 2026
fa28cad
fix public url
eacharles Jul 1, 2026
e0bce92
removed extract workflow
eacharles Jul 7, 2026
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2 changes: 1 addition & 1 deletion .github/workflows/submit_pz_resnet_flow.yaml → .github/workflows/submit_example.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ jobs:
strategy:
matrix:
python-version: ['3.13']
submission: ['pz_resnet_flow']
submission: ['example']

steps:
- uses: actions/checkout@v3
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17 changes: 14 additions & 3 deletions examples/do_example.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
import tables_io
import numpy as np
from rail.core.data import TableHandle
from rail.estimation.algos import sklearn_neurnet
from rail.utils import catalog_utils
Expand All @@ -17,8 +19,17 @@ def train_and_estimate(
scenario: str,
) -> None:

# clean up the training data
train_data_path = f"public/pz_challenge_{taskset}_{sim}_training_{scenario}.hdf5"
uncleaned_training_data = tables_io.read(train_data_path)
bad_mask = np.isnan(uncleaned_training_data['redshift'])
if bad_mask.any():
cleaned_training_data = {key: val[~bad_mask] for key, val in uncleaned_training_data.items()}
train_data_path = train_data_path.replace('.hdf5', '_cleaned.hdf5')
tables_io.write(cleaned_training_data, train_data_path)

train_data = TableHandle(
"train", path=f"public/pz_challenge_{taskset}_{sim}_training_{scenario}.hdf5"
"train", path=train_data_path,
)
test_data = TableHandle(
"test", path=f"public/pz_challenge_{taskset}_{sim}_test_{scenario}.hdf5"
Expand All @@ -33,7 +44,7 @@ def train_and_estimate(
os.makedirs("evaluation")
except:
pass

model_path = f"submission/pz_challenge_{taskset}_{sim}_pz_model_{scenario}.pkl"
output_path = f"submission/pz_challenge_{taskset}_{sim}_pz_estimate_{scenario}.hdf5"
evaluate_path = f"evaluation/pz_challenge_{taskset}_{sim}_pz_evaluation_{scenario}.hdf5"
Expand Down Expand Up @@ -66,7 +77,7 @@ def train_and_estimate(
pz_evaluate.data.ancil["object_id"] = train_data()["object_id"].astype(int)
pz_evaluate.path = evaluate_path
pz_evaluate.write()



if __name__ == "__main__":
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2 changes: 2 additions & 0 deletions requirements_example.txt
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Original file line number Diff line number Diff line change
@@ -0,0 +1,2 @@
pz-rail-base
pz-rail-sklearn
2 changes: 1 addition & 1 deletion scripts/download_public.py
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Expand Up @@ -2,7 +2,7 @@
from pz_data_challenge import submit_utils

# don't change these
PUBLIC_URL: str = "https://portal.nersc.gov/cfs/lsst/PZ/data_challenge/public.tgz"
PUBLIC_URL: str = "https://portal.nersc.gov/cfs/lsst/PZ/data_challenge/public_test.tgz"


def setup_public_area() -> None:
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