LQM Registry / statistical

Linear Regression

Ordinary least squares regression for one explanatory series with explicit fit diagnostics.

Model keylq.statistics.linear-regression

Version1.0.0

Runtimephp-native

Model contract

Inputs are explicit.

{
    "type": "object",
    "required": [
        "x",
        "y"
    ],
    "properties": {
        "x": {
            "type": "array",
            "items": {
                "type": "number"
            },
            "minItems": 2
        },
        "y": {
            "type": "array",
            "items": {
                "type": "number"
            },
            "minItems": 2
        }
    }
}

Output contract

Outputs are explicit.

{
    "type": "object",
    "properties": {
        "count": {
            "type": "integer"
        },
        "slope": {
            "type": "number"
        },
        "intercept": {
            "type": "number"
        },
        "r_squared": {
            "type": "number"
        },
        "rmse": {
            "type": "number"
        }
    }
}

Default parameters

{
    "fit_intercept": true
}

Example input

{
    "x": [
        1,
        2,
        3,
        4,
        5
    ],
    "y": [
        2.100000000000000088817841970012523233890533447265625,
        3.899999999999999911182158029987476766109466552734375,
        6.20000000000000017763568394002504646778106689453125,
        8.0999999999999996447286321199499070644378662109375,
        10.199999999999999289457264239899814128875732421875
    ]
}

Capabilities

cpudeterministicgoverned

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