Synthetic 5D→1D dataset generator used by interpy_bg and fivedreg.
Project description
interpy_synth
Lightweight synthetic data generator for 5D → 1D regression workloads.
Provides helper functions to create NumPy arrays or persist pickles with metadata.
Used by both the NumPy (interpy_bg) and TensorFlow (fivedreg) packages, but can be installed standalone.
Installation
pip install interpy-synth
# or from this repo:
# pip install git+https://github.com/barongracias/InterPyApp.git#egg=interpy-synth&subdirectory=backend/interpy_synth
Usage
from interpy_synth import synthetic_5d, synthetic_5d_pickle
X, y = synthetic_5d(1000, seed=42)
path = synthetic_5d_pickle("outputs_numpy/synth.pkl", n=1000, seed=42)
synthetic_5d returns float32 arrays shaped (n, 5) and (n, 1).
synthetic_5d_pickle writes a pickle with X, y, and metadata (feature names, seed, timestamp).
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