Strata-ML: High-Performance Machine Learning DSL

Strata-ML is a Domain-Specific Language (DSL) developed in Haskell that utilizes a C-based backend via a Foreign Function Interface (FFI). This architecture separates high-level logic and type safety from low-level mathematical execution, providing a robust framework for data analysis and predictive modeling.

Project Overview

The core philosophy of Strata-ML is to provide a functional "Manager" layer in Haskell that handles language syntax and program structure, while offloading computationally expensive tasks to a dedicated "Engine" written in C. This project specifically targets time-series analysis, such as battery health degradation datasets.

File Structure

The repository is organized into a modular structure to ensure a clear separation between the language definition, its semantics, and the underlying execution engine.

Directory / File	Responsibility
strata-ml.cabal	The build configuration file. It instructs the Haskell compiler (GHC) on how to link the C source files and include directories.
src/Syntax.hs	Contains the Abstract Syntax Tree (AST) definitions. This defines the grammar of the language, including model types and commands.
src/Semantics.hs	The logic layer. It interprets the AST and prepares the data for execution, acting as the bridge between Haskell and the FFI.
src/Evaluator.hs	The FFI Bridge. This file contains the foreign import ccall declarations that allow Haskell to call functions defined in the C core.
src/PrettyPrint.hs	Implements custom Show instances. This provides a human-readable visualization of the program state and model results.
src/Main.hs	The entry point of the application. It handles file I/O and initiates the evaluation pipeline.
cbits/strata_core.c	The Math Engine. Contains the low-level C implementation of algorithms like Gradient Descent for performance optimization.
cbits/include/	Contains the C header files (.h) which define the function signatures for the FFI.
data/	Storage for input datasets, such as the NASA/CALCE battery datasets or simplified CSV test files.

Technical Implementation

Foreign Function Interface (FFI)

Strata-ML does not rely on external scripting engines. Instead, it communicates directly with C-compiled binaries. This allows the system to utilize hardware features and avoides the overhead of high-level language interpreters.

Data Pipeline

The language is designed to process datasets relevant to research in battery health and environmental modeling. By using Haskell for data marshaling, the system ensures that only validated, correctly formatted data is passed to the high-speed C execution layer.