pip install genp --upgrade (requires Python ≥ 3.9) Have you tested GENP 3.4 on your own data? Share your benchmark results in the comments below.
from genp import GeneralizedExponential import numpy as np data = np.random.weibull(1.5, 100) * 10 Fit GENP 3.4 model model = GeneralizedExponential(version="3.4") model.fit(data, hazard_type="bathtub") Predict remaining useful life new_data = [12.3, 14.7, 9.2] print(model.predict_hazard(new_data)) genp 3.4
In the world of statistical modeling, the quest for the perfect distribution often feels like searching for a unicorn. You need something flexible enough to handle skewed data, robust for hazard rates, yet simple enough to compute in real-time. pip install genp --upgrade (requires Python ≥ 3
#Statistics #ReliabilityEngineering #DataScience #GENP #ProbabilityDistributions robust for hazard rates