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ames-housing-lasso-predictor

Tabular Classification
Scikit-learn
skops
Model card Files Community
ames-housing-lasso-predictor
File size: 3,000 Bytes 
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{
    "sklearn": {
        "columns": [
            "YrSold",
            "HeatingQC",
            "Street",
            "YearRemodAdd",
            "Heating",
            "MasVnrType",
            "BsmtUnfSF",
            "Foundation",
            "MasVnrArea",
            "MSSubClass",
            "ExterQual",
            "Condition2",
            "GarageCars",
            "GarageType",
            "OverallQual",
            "TotalBsmtSF",
            "BsmtFinSF1",
            "HouseStyle",
            "MiscFeature",
            "MoSold"
        ],
        "environment": [
            "scikit-learn=1.2.2"
        ],
        "example_input": {
            "BsmtFinSF1": [
                1280,
                1464,
                0
            ],
            "BsmtUnfSF": [
                402,
                536,
                795
            ],
            "Condition2": [
                "Norm",
                "Norm",
                "Norm"
            ],
            "ExterQual": [
                "Ex",
                "Gd",
                "Gd"
            ],
            "Foundation": [
                "PConc",
                "PConc",
                "PConc"
            ],
            "GarageCars": [
                3,
                3,
                1
            ],
            "GarageType": [
                "BuiltIn",
                "Attchd",
                "Detchd"
            ],
            "Heating": [
                "GasA",
                "GasA",
                "GasA"
            ],
            "HeatingQC": [
                "Ex",
                "Ex",
                "TA"
            ],
            "HouseStyle": [
                "2Story",
                "1Story",
                "2.5Fin"
            ],
            "MSSubClass": [
                60,
                20,
                75
            ],
            "MasVnrArea": [
                272.0,
                246.0,
                0.0
            ],
            "MasVnrType": [
                "Stone",
                "Stone",
                NaN
            ],
            "MiscFeature": [
                NaN,
                NaN,
                NaN
            ],
            "MoSold": [
                8,
                7,
                3
            ],
            "OverallQual": [
                10,
                8,
                4
            ],
            "Street": [
                "Pave",
                "Pave",
                "Pave"
            ],
            "TotalBsmtSF": [
                1682,
                2000,
                795
            ],
            "YearRemodAdd": [
                2008,
                2005,
                1950
            ],
            "YrSold": [
                2008,
                2007,
                2006
            ]
        },
        "model": {
            "file": "model.pkl"
        },
        "model_format": "pickle",
        "task": "tabular-classification",
        "use_intelex": false
    }
}