Miscellaneous

Miscellaneous functions and objects.

This module groups classes and functions useful to work with functional data but which do not belong to other categories.

Mathematical operations

Some math operations between functional data objects are directly available in this module. The most important ones are the ones that efficiently compute the inner product between functions:

skfda.misc.inner_product(arg1, arg2, *[, ...])	Return the usual (\(L_2\)) inner product.
skfda.misc.inner_product_matrix(arg1[, arg2])	Return the inner product matrix between is arguments.

A concept related with the inner product is that of the cosine similarity between functions:

skfda.misc.cosine_similarity(arg1, arg2)	Return the cosine similarity.
skfda.misc.cosine_similarity_matrix(arg1[, arg2])	Return the cosine similarity matrix between is arguments.

Submodules

In addition the following modules provide useful functionality to work with functional data:

• Covariance functions: Contains covariance functions to use with and make_gaussian_process()

• Metrics: Contains functional data metrics, suitable to being used with several metric-based machine-learning tools.

• Operators: Contains operators, or functions over functions.

• Regularization: Contains regularization functions, usable in contexts such as linear regression, FPCA, or basis smoothing.