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dmsaylor
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CHRIS
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Fetching metadata from the HF Docker repository...
main
CHRIS
/
qrf
105 MB
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10 contributors
History:
8 commits
3v324v23
Claude Code
Remove xlsx files from tracking, replace with Parquet
7f154a9
7 days ago
db-D-interp-allT-semiclean.parquet
2.53 MB
xet
Convert large Excel data files to Parquet for faster startup
7 days ago
functions.py
Safe
6.52 kB
Convert large Excel data files to Parquet for faster startup
7 days ago
mordred-descriptors.parquet
7.06 MB
xet
Convert large Excel data files to Parquet for faster startup
7 days ago
qrf_model_bundle_25.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
8.02 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_30.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
6.49 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_35.pkl
pickle
Detected Pickle imports (10)
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
,
"sklearn.tree._tree.Tree"
,
"numpy.ndarray"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
How to fix it?
13.7 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_37.pkl
pickle
Detected Pickle imports (10)
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
,
"sklearn.tree._tree.Tree"
,
"numpy.ndarray"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
How to fix it?
14.8 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_40.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
2.77 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_45.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
7.29 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_50.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
7.74 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_55.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
6.98 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_60.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
2.65 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_65.pkl
pickle
Detected Pickle imports (10)
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
,
"sklearn.tree._tree.Tree"
,
"numpy.ndarray"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
How to fix it?
15.9 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_70.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
6.67 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_model_bundle_75.pkl
pickle
Detected Pickle imports (10)
"quantile_forest._quantile_forest.RandomForestQuantileRegressor"
,
"sklearn.tree._classes.DecisionTreeRegressor"
,
"sklearn.tree._tree.Tree"
,
"numpy.dtype"
,
"numpy._core.multiarray.scalar"
,
"sklearn.impute._base.SimpleImputer"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.ndarray"
,
"quantile_forest._quantile_forest_fast.QuantileForest"
How to fix it?
2.55 MB
xet
quantity module + qrf updates
over 1 year ago
qrf_parameters_allT.parquet
7.78 kB
xet
Update qrf_train.py to use Parquet files instead of Excel
7 days ago
qrf_train.py
Safe
2.99 kB
Update qrf_train.py to use Parquet files instead of Excel
7 days ago