</>
pythonbeginner

Feature Store Basics

Data science technique: feature-store-basics

python
import numpy as np

rng = np.random.default_rng(42)
values = rng.normal(loc=0.0, scale=1.0, size=100)
summary = {"topic": "feature-store-basics", "mean": float(values.mean()), "std": float(values.std())}
print(summary)

Use Cases

  • machine learning
  • data analysis

Tags

#data#machine-learning#feature

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