`correlation_method`

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Axis correlation_method on sub-layer L3_5_C_feature_correlation (layer l3_5).

Sub-layer

L3_5_C_feature_correlation

Axis metadata

Default: 'pearson'
Sweepable: False
Status: operational

Operational status summary

Operational: 2 option(s)
Future: 0 option(s)

Options

`pearson` – operational

Pearson correlation for feature pairs.

L3.5.C correlation method pearson.

This option configures the correlation_method axis on the L3_5_C_feature_correlation sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_C_feature_correlation/ alongside the other selected views.

When to use

Linear-association default. Activates the pearson branch on L3.5.correlation_method; combine with related options on the same sub-layer for a comprehensive diagnostic.

References

macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’

Related options: spearman

Last reviewed 2026-05-05 by macroforecast author.

`spearman` – operational

Spearman rank correlation.

L3.5.C correlation method spearman.

This option configures the correlation_method axis on the L3_5_C_feature_correlation sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_C_feature_correlation/ alongside the other selected views.

When to use

Monotonic, robust to outliers; preferred for non-Gaussian features.

References

macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’

Related options: pearson