ts_aug_awaresmooth: Augmentation by Awareness Smooth

In tspredit: Time Series Prediction with Integrated Tuning

Augmentation by Awareness Smooth

Description

Recency-aware augmentation that also progressively smooths noise before applying the weighting, producing cleaner augmented samples.

Usage

ts_aug_awaresmooth(factor = 1)

Arguments

factor

Numeric factor controlling the recency weighting.

Value

A ts_aug_awaresmooth object.

References

• Q. Wen et al. (2021). Time Series Data Augmentation for Deep Learning: A Survey. IJCAI Workshop on Time Series.

Examples

# Recency-aware augmentation with progressive smoothing
# Load package and example dataset
library(daltoolbox)
data(tsd)

# Convert to 10-lag sliding windows and preview
xw <- ts_data(tsd$y, 10)
ts_head(xw)

# Apply awareness+smooth augmentation and inspect result
augment <- ts_aug_awaresmooth()
augment <- fit(augment, xw)
xa <- transform(augment, xw)
ts_head(xa)

tspredit documentation built on Feb. 11, 2026, 9:08 a.m.