exact_predict: Perform prediction on testing data using training data and...

In ecrc/exageostatR: R Package Demonstrates the R / C Language Interface for Exageostat

Perform prediction on testing data using training data and pre-estimated theta vector

Description

Perform prediction on testing data using training data and pre-estimated theta vector

Usage

exact_predict(
  data_train = list(x, y, z),
  data_test = list(x, y),
  kernel = c("ugsm-s", "ugsmn-s", "ugnsm-s", "bgsfm-s", "bgsbm-s", "ugsm-s", "ugsm-st"),
  dmetric = c("euclidean", "great_circle"),
  theta,
  computation = 0
)

Arguments

dmetric	string - distance metric - "euclidean" or "great_circle"
data_train:	list of training data
data_test:	list of testing data
kernel:	string - kernel ("ugsm-s", "ugsmn-s", "bgsfm-s", "bgspm-s", "tgspm-s", "ugsm-st", "bgsm-st")
theta:	list of n parameters (estimated theta)
computation:	integer - computation method

Value

list of predicted values

ecrc/exageostatR documentation built on June 9, 2025, 9:06 p.m.