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Print a Conditional Mean Embedding Fit

Source: R/embeddings.R
print.cme_fit.Rd

Prints a compact summary of a fitted conditional mean embedding: the training-sample size, the input and output dimensions, the resolved kernels, and the ridge regularisation parameter that was used.

Usage

# S3 method for class 'cme_fit'
print(x, ...)

Arguments

x

A cme_fit object returned by fit_cme().

...

Unused; present for S3 generic compatibility.

Value

The cme_fit object x, invisibly.

See also

fit_cme()

Examples

set.seed(1L)
x <- matrix(rnorm(60L), ncol = 2L)
y <- matrix(x[, 1L] + rnorm(30L, sd = 0.2), ncol = 1L)
print(fit_cme(x, y, lambda = 1e-2))
#> Conditional mean embedding (kernel ridge regression)
#>   Training points: 30
#>   Input dim:       2
#>   Output dim:      30
#>   Kernel (x):      rbf
#>   Kernel (y):      rbf
#>   Ridge lambda:     0.01