Mirabolic

Latest version: v0.3.10

Safety actively analyzes 688087 Python packages for vulnerabilities to keep your Python projects secure.

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0.0.9

The typical TensorFlow metrics do not work well with our situation because the target variable includes exposure. We provide two metrics (MSE & Gini coefficient) for the case of Poisson Regression with exposure.

0.0.8

Making loss functions more numerically stable, specifically to prevent exp(large number) from overflowing.

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