Rlsmagic ((install)) ◉
Quick guide to rlsmagic
What it is
rlsmagic is a compact Python library that estimates Remaining Useful Life (RUL) of equipment using simple, interpretable regression and survival-style models. It focuses on run-to-failure datasets (e.g., turbofan engines, bearings) and provides utilities for preprocessing, feature engineering, model training, and evaluation tailored to prognostics.
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C. The SQL Server Method
If you are doing this in T-SQL:
Key features
- Data loaders and helpers for common prognostics datasets (run-to-failure format).
- Windowing and sequence feature extraction.
- Baseline models: linear regression, random forest, gradient boosting; survival/regression hybrids.
- Standard RUL metrics (RMSE, mean absolute error) and specialized metrics for prognostics (timeliness, scoring functions).
- Easy experiment loop: preprocess → features → train → evaluate → visualize.
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The Magic Behind RLSmagic