Parameters Example

Using parameters for configuration and overriding them at runtime with --set.

What It Does

A simple signal processing pipeline that: 1. generate_signal: Creates a noisy sine wave 2. smooth_signal: Applies a moving average filter 3. detect_peaks: Finds peaks above a threshold

Parameters control the signal characteristics and processing settings.

Run It

# Run with default parameters
loom examples/parameters/pipeline.yml

# Check outputs
cat examples/parameters/data/signal.csv         # Raw noisy signal
cat examples/parameters/data/smoothed.csv       # After smoothing
cat examples/parameters/data/peaks.json         # Detected peaks

# Override parameters at runtime
loom examples/parameters/pipeline.yml --set window_size=10 threshold=0.5

# Try different noise levels
loom examples/parameters/pipeline.yml --set noise_level=0.5

# Preview what would run
loom examples/parameters/pipeline.yml --set window_size=20 --dry-run

Parameters

Parameter	Default	Description
num_points	200	Number of data points to generate
noise_level	0.2	Amount of random noise (0-1)
frequency	2.0	Signal frequency (cycles per series)
window_size	5	Moving average window size
threshold	0.3	Peak detection threshold

Files

• pipeline.yml — Pipeline with parameterized configuration
• tasks/generate_signal.py — Generates noisy sine wave
• tasks/smooth_signal.py — Moving average smoothing
• tasks/detect_peaks.py — Peak detection