Metadata-Version: 2.4
Name: faiflow
Version: 0.0.3
Summary: Placeholder package name reservation
Requires-Python: >=3.12
Description-Content-Type: text/markdown

# FAIflow

> **Raw in. Signal out. Zero leakage. That's FAIflow. The layer your models stand on.**

`faiflow` is a high-performance feature engineering, snapshot sampling, and leakage-prevention framework designed for high-stakes financial, risk, and enterprise modeling. Developed as the foundational data layer of the AIGENSYS ecosystem, faiflow transforms unstructured, noisy panel-level data into clean, contextual, leak-free signals with zero copy overhead across Pandas, Spark, and Ray.

---

## Core Capabilities

- **Snapshot Sampling**: Converts high-frequency panel data into balanced, representative snapshots while preserving temporal structure and reducing dimensionality through zero-copy Apache Arrow IPC.
- **Future Leakage Prevention**: Automatically detects and eliminates temporal leaks, target variable contamination, and post-target feature dependencies before they compromise backtest validity.
- **Platform-Agnostic Execution**: Seamlessly scales from single-node Pandas in-memory dataframes to distributed Apache Spark clusters and multi-node Ray pipelines with a single parameter switch.
- **Robust Imputation & Cleaning**: Handles missing data, outliers, and raw string encodings using rigorous statistical baselines (e.g., IQR imputation) built for financial regulatory standards.

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## The AIGENSYS Ecosystem

`faiflow` serves as the foundational data ingestion and transformation layer across the entire AIGENSYS architecture:

```text
[ RAW DATA / PANEL ] ──> [ FAIflow (Foundation) ]
                             │
             ┌─────────────────┼─────────────────┐
             ▼                 ▼                 ▼
       [ STAIflow ]       [ AIDflow ]       [ ORAIflow ]
     (Segmentation)       (Scoring)        (Orchestration)
```

- `staiflow`: Consumes clean feature snapshots for continuous behavioral segmentation and migration tracking.
- `aidflow`: Applies regulatory credit scoring and risk underwriting on leak-free features.
- `aimflow & oraiflow`: Monitor feature drift and execute downstream automated orchestration workflows.


## Enterprise Governance & Auditability
Designed for rigorous model validation and regulatory review:

- Deterministic Transformation: Fully traceable feature engineering pipelines with zero black-box imputation.
- Leakage Audit Trail: Detailed logging of every removed temporal artifact or target-dependent column for compliance reporting.

## License & Support
Developed and maintained by AIGENSYS s.r.o.

- Office: Bílkova 855/19, Prague 1, Czech Republic
- Enterprise support and custom segment audits available on request.
