Datasets:

Aki298
/

AML-Johor-Tangkak-Sagil-GEE-dataset

Tasks:

Tabular Regression

Time Series Forecasting

Modalities:

Languages:

Size:

Tags:

environmental-monitoring

License:

Dataset card Data Studio Files Files and versions

AML-Johor-Tangkak-Sagil-GEE-dataset / artifacts

23.8 MB

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feature_columns.json

6.83 kB
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feature_imputer.joblib
Detected Pickle imports (6)
- "numpy.ndarray",
- "None.dtype",
- "numpy.dtype",
- "sklearn.impute._base.SimpleImputer",
- "numpy._core.multiarray._reconstruct",
- "joblib.numpy_pickle.NumpyArrayWrapper"
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feature_scaler.joblib
Detected Pickle imports (5)
- "numpy._core.multiarray.scalar",
- "numpy.ndarray",
- "sklearn.preprocessing._data.StandardScaler",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper"
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1.07 kB
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lstm_model.pt
Detected Pickle imports (3)
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "torch.FloatStorage"
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113 kB
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mlp_reconstruction_model.joblib
Detected Pickle imports (7)
- "numpy.ndarray",
- "numpy.random._pickle.__randomstate_ctor",
- "numpy.dtype",
- "numpy.random._pickle.__bit_generator_ctor",
- "numpy.random._mt19937.MT19937",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "sklearn.neural_network._multilayer_perceptron.MLPRegressor"
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27 kB
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model_registry.json

1.31 kB
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pca_reconstruction_model.joblib
Detected Pickle imports (4)
- "sklearn.decomposition._pca.PCA",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "numpy.dtype"
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3.48 kB
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random_forest_model.joblib
Detected Pickle imports (7)
- "numpy.dtype",
- "numpy.ndarray",
- "sklearn.pipeline.Pipeline",
- "sklearn.impute._base.SimpleImputer",
- "None.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy._core.multiarray._reconstruct"
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23.2 MB
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ridge_model.joblib
Detected Pickle imports (7)
- "sklearn.impute._base.SimpleImputer",
- "None.dtype",
- "numpy.dtype",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.ndarray",
- "numpy._core.multiarray._reconstruct",
- "sklearn.pipeline.Pipeline"
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risk_thresholds.json

104 Bytes
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sequence_feature_imputer.joblib
Detected Pickle imports (6)
- "numpy.ndarray",
- "None.dtype",
- "numpy.dtype",
- "sklearn.impute._base.SimpleImputer",
- "numpy._core.multiarray._reconstruct",
- "joblib.numpy_pickle.NumpyArrayWrapper"
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7.29 kB
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sequence_feature_scaler.joblib
Detected Pickle imports (5)
- "sklearn.preprocessing._data.StandardScaler",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar"
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4.81 kB
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sequence_model_metadata.json

6.5 kB
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transformer_feature_imputer.joblib
Detected Pickle imports (6)
- "numpy.ndarray",
- "None.dtype",
- "numpy.dtype",
- "sklearn.impute._base.SimpleImputer",
- "numpy._core.multiarray._reconstruct",
- "joblib.numpy_pickle.NumpyArrayWrapper"
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7.29 kB
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transformer_feature_scaler.joblib
Detected Pickle imports (5)
- "sklearn.preprocessing._data.StandardScaler",
- "joblib.numpy_pickle.NumpyArrayWrapper",
- "numpy.dtype",
- "numpy.ndarray",
- "numpy._core.multiarray.scalar"
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transformer_model.pt
Detected Pickle imports (3)
- "collections.OrderedDict",
- "torch._utils._rebuild_tensor_v2",
- "torch.FloatStorage"
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337 kB
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transformer_model_metadata.json

6.7 kB
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