Covariance#

class skfda.misc.covariances.Covariance[source]#

Abstract class for covariance functions.

Methods

heatmap([limits])

Return a heatmap plot of the covariance function.

to_sklearn()

Convert it to a sklearn kernel, if there is one.

heatmap(limits=(-1, 1))[source]#

Return a heatmap plot of the covariance function.

Parameters:

limits (Tuple[float, float]) –

Return type:

Figure

to_sklearn()[source]#

Convert it to a sklearn kernel, if there is one.

Return type:

Kernel

Examples using skfda.misc.covariances.Covariance#

Classification methods

Classification methods

Magnitude-Shape Plot synthetic example

Magnitude-Shape Plot synthetic example

One-way functional ANOVA with synthetic data

One-way functional ANOVA with synthetic data

Outlier detection with FPCA

Outlier detection with FPCA

Getting the data

Getting the data