Read the equation
This relation defines gᵢⱼ in the source section “FISHER INFORMATION METRIC · gᵢⱼ”. Uses a derivative or gradient to describe a rate of change or a direction of variation. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.
Terms & definitions
The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.
How it works
Read gᵢⱼ as the quantity being defined or updated by this relation.
Uses a derivative or gradient to describe a rate of change or a direction of variation.
Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.
Assumptions & limits
This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.
Original context
Read the surrounding source passage
template<size_t DIM>
struct FisherMetric {
// Metric tensor gᵢⱼ
float g[DIM][DIM];
// Compute Fisher information from score vectors
void compute_from_scores(const float scores[][DIM], size_t num_samples) {
// gᵢⱼ = E[∂log p/∂θⁱ · ∂log p/∂θʲ]
for (size_t i = 0; i < DIM; ++i) {
for (size_t j = 0; j < DIM; ++j) {
float sum = 0.0f;
for (size_t k = 0; k < num_samples; ++k) {
sum += scores[k][i] * scores[k][j];
}
g[i][j] = sum / static_cast<float>(num_samples);
}
}
}Exact original notation
gᵢⱼ = E[∂log p/∂θⁱ · ∂log p/∂θʲ]