.. _auto_curves_regression_smooth: *REGRESSION BASED SMOOTHING OF CURVES* ====================================== Smooths one or more curves using locally-weighted polynomial regression (LOESS/LOWESS), fitting each point against a configurable neighbourhood of surrounding points. Use this worker to remove noise from time-history or force-displacement curves while preserving overall shape; supports multiple iterations, variable polynomial order, and optional derivative-domain smoothing. When to use ----------- Classification: **process**. Tagged: ``curve_smoothing``, ``loess``, ``lowess``, ``noise_reduction``, ``polynomial_regression``, ``regression_smooth``, ``signal_smoothing``, ``time_history``. Inputs ------ .. list-table:: :header-rows: 1 :widths: 20 20 20 20 20 20 * - Label - ID - Type - Default - Required - Description * - Curves In - curves_in - vector - — - - One or more input curves (e.g. force-displacement or time-history) to be smoothed; accepts multiple curve objects in a vector collection. * - Percentage Of Points - percentageof_points - scalar - 1 - - Neighbourhood bandwidth as a percentage of total points used for each local regression fit (default 1 = 1%); if negative, interpreted as an absolute point count — start with 1–2% and increase for heavier smoothing. * - Weight Type - weight_type - scalar - linear - - Weighting kernel applied to neighbours in each local fit: 'linear' (default) gives a simple linear decay; 'tri-cube' gives a smoother, bell-shaped decay that down-weights distant points more aggressively. * - Iterations - iterations - scalar - 1 - - Number of successive LOESS smoothing passes applied to the curve (default 1); increase to 2–4 for heavily noisy data, noting that each additional iteration further attenuates high-frequency content. * - Order Of Fit - orderof_fit - scalar - 1 - - Order of fit. Linear is a good default * - Digitize Points - digitize - scalar - 100 - - Option to digitize before smoothing * - Retain First Point - retain_first_point - string - yes - - Option to always retain the first raw point * - Optimize - optimize - string - no - - Find the optimal values to provide the best smoothing * - Use Derivative For Smoothing - smooth_derivative - string - no - - Smooth derivative and then integrate * - Smooth Percentage By Indexes - smooth_percentage_by_indexes - text - — - - Must match the number of curves provided. Missing values towards end end will use the default value above * - Digitize Curve - digitize_curve - string - yes - - Option to use or ignore the process of digitizing the curve * - Derivative Threshold - derivative_th - scalar - 0 - - High derivative points larger than this factor over the range of the derivative will be skipped for smoothing. A value of 0.2-0.3 is recommended for stress vs strain curves * - Ratio Of Difference - ratio_max - scalar - 0 - - If the new smoothed value is out of this ratio, the original value will be used * - Use Shadow Points - use_shadow_points - string - no - - Use shadow points on the boundary to improve initial and end point smoothing * - Optimize Locally (Deprecated) - optimize_locally - string - no - - Based on the window-size, optimize locally * - Use Variable Window Size - use_variable_window_size - string - no - - This helps in a variable window size that is useful for highly varying derivative * - Choose Optimization Parameters (Deprecated) - optimize_params - string - no - - Limit optimization to these. If not selected, all options will be used for optimization * - Start X - start_x - string - — - - Only Smooth points whose X-value is greater than this value * - Max Window Size - max_ws - string - 8 - - Used when variable window size is specified * - Use Variable Order - use_variable_order - string - no - - This helps in a variable order for nonlinear curve * - Max Order Size - max_order - string - 3 - - Used when variable order is specified Outputs ------- .. list-table:: :header-rows: 1 :widths: 20 20 20 20 * - Label - ID - Type - Description * - curves_regression_smooth_output_1 - curves_regression_smooth_output_1 - vector - Smoothed version of each input curve, returned as a vector curve collection with the same x-axis sampling as the (optionally re-digitized) input. Disciplines ----------- - ai_ml.supervised.regression - data.curve.transform - data.signal_processing Runnable example ---------------- A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: `/api/workflow/example?id=curves_regression_smooth `_ .. raw:: html

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