LASSO Regression

LASSO regression.

Options

• data | object (required): object of value arrays. Default: none.
• y | string (required): outcome variable. Default: none.
• x | (array<(string|Factor)>|string|Factor) (required): one or more predictor variables. Default: none.
• quantitative | array<string> (required): array of variables in data that are quantitative. Default: none.
• lambda | number: regularization parameter. Default: 0.001.
• intercept | boolean: controls whether to fit a model with an intercept term. Default: true.
• onPredict | function: callback invoked with a predict function to make predictions for new data. Default: onPredict() {}.

Examples

Live Editor

<LassoRegression data={heartdisease} y="Cost" x={[ 'Age', 'Interventions', 'Gender', 'Drugs', 'Complications' ]} quantitative={['Age','Cost','Interventions']} />

<LassoRegression
    data={heartdisease} 
    y="Cost"
    x={[ 'Age', 'Interventions', 'Gender', 'Drugs', 'Complications' ]}
    quantitative={['Age','Cost','Interventions']}
/>

Result

ReferenceError: Provider is not defined