plot.sjSDM_cv | R Documentation |
Plot elastic net tuning
## S3 method for class 'sjSDM_cv'
plot(x, y, perf = c("logLik", "AUC", "AUC_macro"), resolution = 6, k = 3, ...)
x |
a model fitted by |
y |
unused argument |
perf |
performance measurement to plot |
resolution |
resolution of grid |
k |
number of knots for the gm |
... |
Additional arguments to pass to |
Named vector of optimized regularization parameters.
Without space:
lambda_cov |
Regularization strength in the |
alpha_cov |
Weigthing between L1 and L2 in the |
lambda_coef |
Regularization strength in the |
alpha_coef |
Weigthing between L1 and L2 in the |
With space:
lambda_cov |
Regularization strength in the |
alpha_cov |
Weigthing between L1 and L2 in the |
lambda_coef |
Regularization strength in the |
alpha_coef |
Weigthing between L1 and L2 in the |
lambda_spatial |
Regularization strength in the |
alpha_spatial |
Weigthing between L1 and L2 in the |
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