fit_view
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Axis
fit_viewon sub-layerL4_5_A_in_sample_fit(layerl4_5).
Sub-layer
L4_5_A_in_sample_fit
Axis metadata
Default:
'multi'Sweepable: False
Status: operational
Operational status summary
Operational: 5 option(s)
Future: 0 option(s)
Options
fitted_vs_actual – operational
In-sample fitted vs actual scatter / time-series.
L4.5.A fit view fitted_vs_actual.
This option configures the fit_view axis on the L4_5_A_in_sample_fit sub-layer of L4.5; output is emitted under manifest.diagnostics/l4_5/L4_5_A_in_sample_fit/ alongside the other selected views.
When to use
Default fit visualisation; the most intuitive sanity check.
References
macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’
Related options: residual_acf, residual_qq, residual_time, multi
Last reviewed 2026-05-05 by macroforecast author.
multi – operational
Render all four fit views together.
L4.5.A fit view multi.
This option configures the fit_view axis on the L4_5_A_in_sample_fit sub-layer of L4.5; output is emitted under manifest.diagnostics/l4_5/L4_5_A_in_sample_fit/ alongside the other selected views.
When to use
Comprehensive in-sample audit.
References
macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’
Related options: fitted_vs_actual, residual_acf, residual_qq, residual_time
Last reviewed 2026-05-05 by macroforecast author.
residual_acf – operational
ACF plot of in-sample residuals.
L4.5.A fit view residual_acf.
This option configures the fit_view axis on the L4_5_A_in_sample_fit sub-layer of L4.5; output is emitted under manifest.diagnostics/l4_5/L4_5_A_in_sample_fit/ alongside the other selected views.
When to use
Detecting residual autocorrelation – significant ACF flags model misspecification.
References
macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’
Related options: fitted_vs_actual, residual_qq, residual_time, multi
Last reviewed 2026-05-05 by macroforecast author.
residual_qq – operational
QQ plot of in-sample residuals against the normal distribution.
L4.5.A fit view residual_qq.
This option configures the fit_view axis on the L4_5_A_in_sample_fit sub-layer of L4.5; output is emitted under manifest.diagnostics/l4_5/L4_5_A_in_sample_fit/ alongside the other selected views.
When to use
Validating Gaussianity assumption; deviations in the tails motivate robust losses or interval forecasts.
References
macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’
Related options: fitted_vs_actual, residual_acf, residual_time, multi
Last reviewed 2026-05-05 by macroforecast author.
residual_time – operational
Residual time-series plot.
L4.5.A fit view residual_time.
This option configures the fit_view axis on the L4_5_A_in_sample_fit sub-layer of L4.5; output is emitted under manifest.diagnostics/l4_5/L4_5_A_in_sample_fit/ alongside the other selected views.
When to use
Spotting heteroscedasticity / structural breaks; clusters of large residuals flag regime shifts.
References
macroforecast design Part 4: ‘diagnostic layers default-off; non-blocking; produce JSON + matplotlib views attached to manifest.diagnostics/.’
Related options: fitted_vs_actual, residual_acf, residual_qq, multi
Last reviewed 2026-05-05 by macroforecast author.