geolime.geostats.estimation.cond_exp

Functions:

ce(kriging, stdev, anam)	Conditional expectation
evaluate_hermite_expansion(x[, coeff])	Evaluate at x a function determined by its coefficients in the Hermite expansion.
evaluate_hermite_expansion_for_metal_memsafe_variable(…)
evaluate_hermite_expansion_memsafe_variable(x, …)	Evaluate at x a function determined by its coefficients in the Hermite expansion.
inverse_anamorphosis_theoretical(z, anam[, …])	Compute theoretical inverse anamorphosis for a single value.
metal(kriging, stdev, anam, cutoff)	Conditional expectation for metal
ore(kriging, stdev, anam, cutoff)	Conditional expectation for ore

geolime.geostats.estimation.cond_exp.ce(kriging: numpy.array, stdev: numpy.array, anam: numpy.array)

Conditional expectation

Parameters

• kriging (np.array) – Discrete gaussian kriging results array

• stdev (np.array) – Standard deviation array

• anam (np.array) – Block anamorphosis array

Returns

Conditional expectation result

Return type

np.ndarray

geolime.geostats.estimation.cond_exp.metal(kriging: numpy.array, stdev: numpy.array, anam: numpy.array, cutoff: float)

Conditional expectation for metal

Parameters

• kriging (np.array) – Discrete gqussian kriging results array

• stdev (np.array) – Standard deviation array

• anam (np.array) – Block anamorphosis array

• cutoff (float) – Metal cutoff

Returns

Conditional expectation result

Return type

np.ndarray

geolime.geostats.estimation.cond_exp.ore(kriging: numpy.array, stdev: numpy.array, anam: numpy.array, cutoff: float)

Conditional expectation for ore

Parameters

• kriging (np.array) – Discrete gqussian kriging results array

• stdev (np.array) – Standard deviation array

• anam (np.array) – Block anamorphosis array

• cutoff (float) – Ore cutoff

Returns

Conditional expectation result

Return type

np.ndarray