Skip to content

Hybrid Data Engineering

Bridge the gap between messy sensor streams and physics-validated DataFrames, ready for Sci-ML extraction via Schema.astensor(). This module leverages a Rust backend and Pandas/Polars to heal and standardize tabular data without sacrificing physical context.

Data Pipeline Pillars

  • Hybrid Tabular Schema

    Declarative physical schemas with vectorized imputation, boundary clipping, and outlier detection for Pandas and Polars.

  • Fuzzy Semantics

    Translate continuous physics into categories via SemanticState and clean dirty strings with C++ Ontology matching.

  • Polyglot I/O & Dataset

    High-performance serialization into secure .phx archives, .parquet files, and .h5 formats with cryptographic validation.