Pre-release

This release is a pre-release and may not be stable for production use.

GAFIME — GPU-Accelerated Feature Interaction Mining Engine

Latest release PyPI version Python versions V1 Contract Validation License

Native feature-interaction discovery across Rust CPU/SIMD, CUDA, ROCm/HIP, and Metal.

GAFIME searches continuous interactions, decision-path regions, and temporal transforms for tabular and structured machine-learning workflows. Python is the concise public declaration and reporting surface; Rust owns validation, planning, scheduling, lifecycle, and Core execution; each native GPU payload owns its device-local execution.

Quick Start

Install the current published prerelease of Core, optionally with a matching vendor payload:

python -m pip install --pre gafime
python -m pip install --pre gafime gafime-cuda  # Linux/Windows x86_64 + CUDA
python -m pip install --pre gafime gafime-rocm  # Linux x86_64 + system ROCm

Core never depends on a GPU payload. Payload packages require the exact matching Core version. Apple Silicon Core wheels contain the Metal payload; there is no standalone Metal distribution. See the live release status and backend installation guide before choosing a hardware package.

from gafime import ComputeBudget, EngineConfig, GafimeEngine

X = [[float(i), float((i * 7) % 11), float((i % 5) - 2)] for i in range(64)]
y = [0.4 * row[0] * row[1] - 0.2 * row[2] for row in X]

config = EngineConfig(
    backend="auto",
    precision="mixed",
    metric_names=("pearson", "r2"),
    budget=ComputeBudget(max_comb_size=2),
    permutation_tests=0,
    num_repeats=1,
)
report = GafimeEngine(config).analyze(
    X, y, feature_names=["trend", "cycle", "offset"]
)
print(report.backend)
print(report.interactions.top_k(5, metric_name="pearson"))

What GAFIME Supports

  • Continuous unary and higher-order interaction candidates.
  • Native decision-path candidates with target-rediscovered permutation maxT.
  • Lag, delta, velocity, acceleration, and rolling time-series candidates.
  • Eager, resident, and explicit compiled lifecycles.
  • NumPy, Polars/Arrow, file-streaming, scikit-learn, and CLI integration.
Backend Distribution Precision profiles
Rust Core/SIMD gafime fp32, mixed, fp64
CUDA gafime-cuda fp32, mixed, fp64
ROCm/HIP gafime-rocm fp32, mixed, fp64
Metal embedded in macOS arm64 gafime fp32 only

Explicit unsupported backend/profile requests fail closed. backend="auto" selects only from available, compatible native paths; explicit vendor requests never silently substitute Core. RT/OptiX remains experimental and local-only.

Documentation

Getting Started

API

Execution and Backends

Architecture and Development

Security

Releases

License / Contact

GAFIME is licensed under Apache-2.0.

Maintainer: Hamza Usta — hamzausta2222@gmail.com

Report suspected vulnerabilities privately through the process in SECURITY.md, not through a public issue.

Project links

Data verified by PyPI on Aug 23, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Stable release available (0.4.7)

1 maintainer

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Avatar for onlyxItachi from gravatar.com onlyxItachi

Credits

PyPI data
Data sourced directly from PyPI's database.

Author: Hamza Usta

GitHub Statistics

Data verified by PyPI on Aug 23, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.10

Provides Extra

bench dev sklearn

Tags

feature-engineering feature-interactions machine-learning hpc heterogeneous-computing cuda rocm metal simd

Classifiers

Report project as malware

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This release
Pre-release

1.0.0rc1 This release

26 files

Pre-release

1.0.0b0

6 files

Pre-release

1.0.0a0

6 files

0.4.7

25 files

0.4.6

26 files

0.4.5

26 files

0.4.1

16 files

0.4.0

16 files

0.3.2

13 files

0.3.1

13 files

0.3.0

13 files

0.2.0

13 files

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