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Merge pull request #780 from jarrodmillman/sklearn-1.5.1
Update scikit-learn
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packages/scikit-learn/index.rst

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@@ -703,21 +703,21 @@ The ``DESCR`` variable has a long description of the dataset::
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<BLANKLINE>
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**Data Set Characteristics:**
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<BLANKLINE>
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:Number of Instances: 20640
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:Number of Instances: 20640
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:Number of Attributes: 8 numeric, predictive attributes and the target
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:Number of Attributes: 8 numeric, predictive attributes and the target
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:Attribute Information:
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- MedInc median income in block group
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- HouseAge median house age in block group
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- AveRooms average number of rooms per household
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- AveBedrms average number of bedrooms per household
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- Population block group population
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- AveOccup average number of household members
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- Latitude block group latitude
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- Longitude block group longitude
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:Attribute Information:
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- MedInc median income in block group
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- HouseAge median house age in block group
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- AveRooms average number of rooms per household
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- AveBedrms average number of bedrooms per household
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- Population block group population
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- AveOccup average number of household members
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- Latitude block group latitude
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- Longitude block group longitude
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:Missing Attribute Values: None
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:Missing Attribute Values: None
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This dataset was obtained from the StatLib repository.
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https://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.html
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It can be downloaded/loaded using the
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:func:`sklearn.datasets.fetch_california_housing` function.
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.. topic:: References
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.. rubric:: References
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- Pace, R. Kelley and Ronald Barry, Sparse Spatial Autoregressions,
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Statistics and Probability Letters, 33 (1997) 291-297
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- Pace, R. Kelley and Ronald Barry, Sparse Spatial Autoregressions,
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Statistics and Probability Letters, 33 (1997) 291-297
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It often helps to quickly visualize pieces of the data using histograms,

requirements.txt

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@@ -4,7 +4,7 @@ matplotlib==3.9.1
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pandas==2.2.2
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patsy==0.5.6
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pyarrow==16.1.0
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scikit-learn==1.5.0
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scikit-learn==1.5.1
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scikit-image==0.24.0
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sympy==1.13.0
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statsmodels==0.14.2

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