📄️ Indicators
Indicators are Limen's lowest-level signal helpers. They usually take a kline-style pl.DataFrame, append one or more derived columns, and return the same frame shape back for the rest of the manifest pipeline.
📄️ Features
Features sit one layer above indicators. They usually combine, re-express, lag, or contextualize price and volume information into model-ready signals or regime flags.
📄️ Transforms
Transforms in Limen are lightweight helpers used either during data preparation or immediately after model scoring. They are not the same thing as train-fitted scalers.
📄️ Scalers
Scalers are train-fitted preprocessing objects. A manifest fits the scaler on x_train, then reuses that fitted state to transform validation and test data without refitting.
📄️ Standard Metrics Library
Limen's metrics layer provides the low-level evaluation helpers used inside SFD model functions and reference architectures.
📄️ Reference Architecture
The reference architecture is Limen's class-based model layer. It sits underneath the foundational SFDs and underneath Trainer.
📄️ Utilities
Utilities are the smaller helper surfaces that support Limen workflows without defining one primary subsystem of their own.