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niru-nny
/
house-price-prediction
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Tabular Regression
Joblib
california-housing
English
scikit-learn
random-forest
house-prices
california-housing
real-estate
regression
License:
mit
Model card
Files
Files and versions
xet
Community
main
house-price-prediction
45.9 MB
1 contributor
History:
20 commits
niru-nny
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.gitattributes
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DEPLOYMENT_GUIDE.md
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INFERENCE_DEPLOYMENT.md
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LICENSE
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MODEL_METADATA.md
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QUICK_DEPLOY.md
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README.md
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app.py
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deploy.ps1
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example_usage.py
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house_price_model.joblib
pickle
Detected Pickle imports (6)
"numpy.ndarray"
,
"sklearn.tree._tree.Tree"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.ensemble._forest.RandomForestRegressor"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.dtype"
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43.4 MB
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housepriceprediction.ipynb
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housing.csv
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inference.py
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preprocessing_pipeline.joblib
pickle
Detected Pickle imports (12)
"sklearn.compose._column_transformer.ColumnTransformer"
,
"sklearn.preprocessing._encoders.OneHotEncoder"
,
"joblib.numpy_pickle.NumpyArrayWrapper"
,
"numpy.ndarray"
,
"_codecs.encode"
,
"numpy.dtype"
,
"sklearn.impute._base.SimpleImputer"
,
"numpy._core.multiarray._reconstruct"
,
"numpy._core.multiarray _reconstruct._RemainderColsList"
,
"sklearn.pipeline.Pipeline"
,
"numpy.float64"
,
"sklearn.preprocessing._data.StandardScaler"
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requirements.txt
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requirements_space.txt
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test_deployment.py
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