Dmax

Dmax()

Dmax model for lactate threshold estimation.

The Dmax method is used to estimate the lactate threshold by identifying the point of maximal perpendicular distance from a straight line connecting the first and last points of the lactate curve.

This is computed by finding the point where the derivative of the lactate curve is equal to the average rate of change between the first and last points.

Attributes:

Name	Type	Description
plot	DmaxPlot	An instance of the DmaxPlot class for visualizing the model.

Initializes the Dmax model and its associated plot.

Methods:

Name	Description
fit	Fits the Dmax model to the given data.
predict	Predicts intensity for the Dmax method.

fit

fit(X: ArrayLike, y: ArrayLike, impl: str = 'normal', threshold_above_baseline=0.4, **kwargs)

Fits the Dmax model to the given data.

Parameters:

Name	Type	Description	Default
X	ArrayLike	The independent variable (e.g., intensity).	required
y	ArrayLike	The dependent variable (e.g., lactate concentration).	required
impl	str	The implementation type. Options are "normal" or	'normal'
threshold_above_baseline	float	Threshold above baseline	0.4
method	str	Method to use for fitting the model. Options are: "3th_poly": 3rd degree polynomial "4th_poly": 4th degree polynomial "spline": Cubic Spline Defaults to "4th_poly".	required

Returns:

Name	Type	Description
self		Fitted Dmax model instance.

predict

predict() -> float

Predicts intensity for the Dmax method.

Returns:

Name	Type	Description
float	float	Predicted intensity.