netket_foundation.expectation_value.ISMatrixResult#

class netket_foundation.expectation_value.ISMatrixResult[source]#

Bases: StatsBatch

netket.stats.StatsBatch extended with importance-sampling diagnostics (ess, ess_fraction, n_samples).

Attributes
ess: float = nan#

Effective sample size.

ess_fraction: float = nan#

ESS as a fraction of the total number of reference samples.

n_samples: int = 0#

Number of reference samples used.

mean: Array[source]#

Estimated mean, shape matches the combinator output.

error_of_mean: Array[source]#

Delta-method standard error, same shape as mean.

Methods
imag()[source]#
real()[source]#
replace(**updates)[source]#

Returns a new object replacing the specified fields with new values.

to_compound()[source]#
to_dict()[source]#