CrossValidation |
Cross-validation results; NaN where a sample had too few neighbors. |
|
IndicatorCrossValidation |
Cross-validation of multiple indicator kriging: estimate is the E-type mean, variance the conditional variance, cdf the (samples, thresholds) corrected probabilities and pit F*(actual), the probability of the sample's own distribution not exceeding its value; NaN where a sample had too few neighbors. |
|
CategoricalCrossValidation |
Cross-validation of categorical indicator kriging: actual holds the category codes, probabilities the (samples, categories) corrected probabilities and names the categories; NaN where a sample had too few neighbors. |
|
validate_model |
Statistics of a block model against the data it was estimated from, per domain and over all. |
2 |
global_bias |
Means of an estimate and of the data it came from, weighted by e.g. block volumes and declustering weights, and the relative difference estimate / data - 1. |
5 |
block_correlation |
Mean Gaussian correlation between points of one block (γ̄-based). |
|
compare |
Mean distance from each target to its n nearest drill holes, each hole at its nearest sample, for classification by drill spacing. |
25 |
compare_models |
Grade-tonnage of several models of the same blocks, by cutoff and category, against a reference model. |
5 |
grade_tonnage |
Grade-tonnage curve straight from the data: tonnage, mean grade and metal at or above each cutoff. |
6 |
classify |
Labels each block with the first rule whose conditions all hold. |
4 |
uncertainty_curve |
Uncertainty quantiles and the share within a threshold per bin of data spacing. |
2 |
required_spacing |
Largest data spacing whose uncertainty still meets a threshold. |
2 |
spacing_study |
Uncertainty of the summary rows after drilling each plan, on simulated truths (virtual drilling). |
2 |