Output Nodes

Output nodes make workflow results visible or exportable.

Nodes

Node	Use When	Inputs	Outputs	Key Configuration
Plot (`output.plot`)	Show spectra, scores, loadings, diagnostics, dendrograms, or metrics-derived plots.	`default: Any`	`visualization`	`plot_type`; `colorscale`; `x_axis`; `y_axis`. Many model outputs carry plot-ready payloads.
Contour Plot (`output.contour`)	Show a 2D heatmap or contour view of matrix-like spectral data.	`default: Any`	`visualization`	`colorscale`; `plot_type`; `reverse_x`; `transpose`.
Data Table (`output.data_table`)	Inspect numeric arrays, metrics, sample tables, or selected variables as rows and columns.	`default: Any`	`visualization`	`max_rows`; `transpose`; `show_index`.
Statistics (`stats.summary`)	Generate adaptive summaries for datasets, model outputs, or metrics.	`default: Any`	`statistics`	`compute_outliers`; `outlier_threshold`; `max_samples`.
Export (`output.export`)	Export workflow output to a named file format.	`default: Any`	`file_info`	`filename`; `format`.

Good Output Hygiene

For chemometrics, useful output includes the numbers and the context: sample IDs, target names, units, metric names, split design, and model parameters.

Choosing the Right Output

Use plots for pattern recognition: spectra, scores, loadings, residual diagnostics, dendrograms, and acceptance regions.
Use tables for auditability: sample IDs, target values, predictions, selected variables, peak lists, and metric dictionaries.
Use statistics summaries for quick health checks, not as a substitute for validation nodes.
Use export only after confirming the output carries labels and units needed by the recipient.