Kriging::save & Kriging::load

Description

Save/Load a Kriging Model

Usage

• Python

  # k = Kriging(...)
  k.save("k.json")
  k2 = load("k.json")
  

• R

  # k = Kriging(...)
  k$save("k.json")
  k2 = load("k.json")
  

• Matlab/Octave

  % k = Kriging(...)
  k.save("k.json")
  k2 = load("k.json")
  

Value

The loaded object.

Examples

f <- function(x) 1 - 1 / 2 * (sin(12 * x) / (1 + x) + 2 * cos(7 * x) * x^5 + 0.7)
set.seed(123)
X <- as.matrix(runif(10))
y <- f(X)

k <- Kriging(y, X, kernel = "matern3_2")
k

k$save("k.json")
print(load("k.json"))

Results

* data: 10x[0.0455565,0.940467] -> 10x[0.194057,1.00912]
* trend constant (est.): 0.433954
* variance (est.): 0.0873685
* covariance:
  * kernel: matern3_2
  * range (est.): 0.240585
  * fit:
    * objective: LL
    * optim: BFGS
* data: 10x[0.0455565,0.940467] -> 10x[0.194057,1.00912]
* trend constant (est.): 0.433954
* variance (est.): 0.0873685
* covariance:
  * kernel: matern3_2
  * range (est.): 0.240585
  * fit:
    * objective: LL
    * optim: BFGS

{
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        "n_cols": 1,
        "n_rows": 10,
        "type": "mat"
    },
    "M": {
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        "n_cols": 1,
        "n_rows": 10,
        "type": "mat"
    },
    "R": {
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        "n_rows": 10,
        "type": "mat"
    },
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        "n_cols": 10,
        "n_rows": 10,
        "type": "mat"
    },
    "X": {
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        "n_cols": 1,
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        "type": "mat"
    },
    "beta": {
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        "size": 1,
        "type": "colvec"
    },
    "centerX": {
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        "size": 1,
        "type": "rowvec"
    },
    "centerY": 0.0,
    "circ": {
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        "n_cols": 1,
        "n_rows": 2,
        "type": "mat"
    },
    "content": "Kriging",
    "covType": "matern3_2",
    "dX": {
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        "n_cols": 100,
        "n_rows": 1,
        "type": "mat"
    },
    "est_beta": true,
    "est_sigma2": true,
    "est_theta": true,
    "maxdX": {
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        "size": 1,
        "type": "colvec"
    },
    "normalize": false,
    "objective": "LL",
    "optim": "BFGS",
    "regmodel": "constant",
    "scaleX": {
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        "size": 1,
        "type": "rowvec"
    },
    "scaleY": 1.0,
    "sigma2": 0.08736845168976931,
    "star": {
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        "type": "mat"
    },
    "theta": {
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        "size": 1,
        "type": "colvec"
    },
    "version": 2,
    "y": {
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        "type": "colvec"
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    "z": {
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        "size": 10,
        "type": "colvec"
    }
}