distribution_view

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Axis distribution_view on sub-layer L2_5_B_distribution_shift (layer l2_5).

Sub-layer

L2_5_B_distribution_shift

Axis metadata

  • Default: 'multi'

  • Sweepable: False

  • Status: operational

Operational status summary

  • Operational: 4 option(s)

  • Future: 0 option(s)

Options

histogram_overlay – operational

Overlaid histograms (raw vs cleaned).

L2.5.B distribution view histogram_overlay.

This option configures the distribution_view axis on the L2_5_B_distribution_shift sub-layer of L2.5; output is emitted under manifest.diagnostics/l2_5/L2_5_B_distribution_shift/ alongside the other selected views.

When to use

Eyeballing distribution-shift magnitude; the most intuitive view for sharing with non-technical stakeholders.

References

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

Related options: qq_plot, summary_table, multi

Last reviewed 2026-05-05 by macroforecast author.

multi – operational

Produce all three views together.

L2.5.B distribution view multi.

This option configures the distribution_view axis on the L2_5_B_distribution_shift sub-layer of L2.5; output is emitted under manifest.diagnostics/l2_5/L2_5_B_distribution_shift/ alongside the other selected views.

When to use

Default rich diagnostic for distribution-shift audits.

References

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

Related options: histogram_overlay, qq_plot, summary_table

Last reviewed 2026-05-05 by macroforecast author.

qq_plot – operational

Q-Q plot of cleaned vs raw quantiles.

L2.5.B distribution view qq_plot.

This option configures the distribution_view axis on the L2_5_B_distribution_shift sub-layer of L2.5; output is emitted under manifest.diagnostics/l2_5/L2_5_B_distribution_shift/ alongside the other selected views.

When to use

Detecting tail-deformation patterns; deviations from the 45° line localise where cleaning altered the distribution.

References

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

Related options: histogram_overlay, summary_table, multi

Last reviewed 2026-05-05 by macroforecast author.

summary_table – operational

Tabular distribution-metric summary.

L2.5.B distribution view summary_table.

This option configures the distribution_view axis on the L2_5_B_distribution_shift sub-layer of L2.5; output is emitted under manifest.diagnostics/l2_5/L2_5_B_distribution_shift/ alongside the other selected views.

When to use

Compact numeric summary per series; pairs naturally with distribution_metric choices.

References

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

Related options: histogram_overlay, qq_plot, multi

Last reviewed 2026-05-05 by macroforecast author.