comparison_stages

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Axis comparison_stages on sub-layer L3_5_A_comparison_axis (layer l3_5).

Sub-layer

L3_5_A_comparison_axis

Axis metadata

  • Default: 'cleaned_vs_features'

  • Sweepable: False

  • Status: operational

Operational status summary

  • Operational: 3 option(s)

  • Future: 0 option(s)

Options

cleaned_vs_features – operational

Compare cleaned panel vs feature-engineered panel (skip raw).

L3.5.A comparison stages cleaned_vs_features.

This option configures the comparison_stages axis on the L3_5_A_comparison_axis sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_A_comparison_axis/ alongside the other selected views.

When to use

Isolating the L3 contribution when L2’s cleaning is well-trusted.

References

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

Related options: raw_vs_cleaned_vs_features, features_only

Last reviewed 2026-05-05 by macroforecast author.

features_only – operational

Inspect feature panel in isolation.

L3.5.A comparison stages features_only.

This option configures the comparison_stages axis on the L3_5_A_comparison_axis sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_A_comparison_axis/ alongside the other selected views.

When to use

When upstream stages are well-trusted and the focus is on the L3 output’s properties.

References

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

Related options: raw_vs_cleaned_vs_features, cleaned_vs_features

Last reviewed 2026-05-05 by macroforecast author.

raw_vs_cleaned_vs_features – operational

Compare raw / cleaned / featurised panels in a 3-way view.

L3.5.A comparison stages raw_vs_cleaned_vs_features.

This option configures the comparison_stages axis on the L3_5_A_comparison_axis sub-layer of L3.5; output is emitted under manifest.diagnostics/l3_5/L3_5_A_comparison_axis/ alongside the other selected views.

When to use

Default broad audit; tracking the panel’s evolution from raw FRED data through to the L3 feature matrix.

References

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

Related options: cleaned_vs_features, features_only

Last reviewed 2026-05-05 by macroforecast author.