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boullier_assignment5_regressionmodel

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boullier_assignment5_regressionmodel
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{
    "sklearn": {
        "columns": [
            "price",
            "highway-mpg",
            "city-mpg",
            "peak-rpm",
            "horsepower",
            "compression-ratio",
            "stroke",
            "bore",
            "engine-size",
            "num-of-cylinders",
            "curb-weight",
            "height",
            "width",
            "length",
            "wheel-base",
            "num-of-doors",
            "normalized-losses"
        ],
        "environment": [
            "scikit-learn=1.0.2"
        ],
        "example_input": {
            "price": [
                13495,
                16500,
                13950
            ],
            "highway-mpg": [
                29,
                28,
                31
            ],
            "city-mpg": [
                21,
                19,
                24
            ],
            "peak-rpm": [
                5000,
                5500,
                4800
            ],
            "horsepower": [
                102,
                115,
                110
            ],
            "compression-ratio": [
                9.0,
                9.0,
                9.0
            ],
            "stroke": [
                3.4,
                3.4,
                3.2
            ],
            "bore": [
                3.47,
                3.01,
                3.19
            ],
            "engine-size": [
                109,
                136,
                120
            ],
            "num-of-cylinders": [
                4,
                4,
                4
            ],
            "curb-weight": [
                2548,
                2823,
                2507
            ],
            "height": [
                54.3,
                55.1,
                54.5
            ],
            "width": [
                64.1,
                65.5,
                66.2
            ],
            "length": [
                168.8,
                171.2,
                176.6
            ],
            "wheel-base": [
                94.5,
                94.5,
                96.5
            ],
            "num-of-doors": [
                4.0,
                2.0,
                4.0
            ],
            "normalized-losses": [
                65,
                103,
                74
            ]
        },
        "model": {
            "file": "model.pkl"
        },
        "task": "tabular-regression"
    }
}