ts_aug_awareness: Augmentation by Awareness

In tspredit: Time Series Prediction with Integrated Tuning

Augmentation by Awareness

Description

Bias the augmentation to emphasize more recent points in each window (recency awareness), increasing their contribution to the augmented sample.

Usage

ts_aug_awareness(factor = 1)

Arguments

factor

Numeric factor controlling the recency weighting.

Value

A ts_aug_awareness 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 over sliding windows
# 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 augmentation (bias toward recent rows)
augment <- ts_aug_awareness()
augment <- fit(augment, xw)
xa <- transform(augment, xw)
ts_head(xa)

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