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uhi-data-2025

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2.94 GB

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History: 16 commits

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UTFVI Random Forest Tuned Model

707445a verified 3 months ago

.gitattributes

2.5 kB
initial commit 4 months ago
CAN_Full_UHI_Data.csv

574 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
CAN_sample_points.csv

11.8 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
CAN_viirs_features.csv

413 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
FIN_Full_UHI_Data.csv

570 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
FIN_sample_points.csv

11.6 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
FIN_viirs_features.csv

379 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
IRN_Full_UHI_Data.csv

574 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
IRN_sample_points.csv

11.6 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
IRN_viirs_features.csv

417 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
NGA_Full_UHI_Data.csv

563 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
NGA_sample_points.csv

11.2 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
NGA_viirs_features.csv

376 kB
Datasets Required to Run the 'uhi-modelling' Notebook 3 months ago
README.md

24 Bytes
initial commit 4 months ago
tuned_random_forest.pkl
Detected Pickle imports (9)
- "None.dtype",
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.multioutput.MultiOutputRegressor",
- "numpy._core.multiarray._reconstruct",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy.ndarray"
How to fix it?
1.1 GB
xet

Uploaded Tuned Random Forest Model and Hash 3 months ago
tuned_random_forest_meta.json

112 Bytes
Uploaded Tuned Random Forest Model and Hash 3 months ago
tuned_random_forest_utfvi.pkl
Detected Pickle imports (9)
- "numpy.dtype",
- "sklearn.tree._tree.Tree",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.ensemble._forest.RandomForestRegressor",
- "sklearn.tree._classes.DecisionTreeRegressor",
- "numpy._core.multiarray._reconstruct",
- "None.dtype",
- "sklearn.multioutput.MultiOutputRegressor",
- "numpy.ndarray"
How to fix it?
1.84 GB
xet

UTFVI Random Forest Tuned Model 3 months ago
tuned_random_forest_utfvi_meta.json

112 Bytes
UTFVI Random Forest Tuned Model 3 months ago