lpspline.viz.plot_interactive

lpspline.viz.plot_interactive(model: LpRegressor, X: DataFrame, y: Series, xcol: str, show_splines: List[str] | None = None, width: int = 400, height: int = 300)

Create an interactive Altair plot showing the model fit and component splines.

Parameters:

• model (LpRegressor) – The fitted regression model.

• X (pl.DataFrame) – Input features.

• y (pl.Series) – Target values.

• xcol (str) – The feature name to use for the x-axis in the top plot.

• show_splines (List[str], default=None) – A list of spline tags to display in the bottom row. If None, all splines are shown.

• width (int, default=400) – The total width of the plot.

• height (int, default=300) – The total height of the plot.

Returns:

The interactive Altair chart.

Return type:

alt.VConcatChart