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GitHub / Paulnkk / Solving-L2-Logistic-Regression-Problem

I use a self-implemented Trust-Region-Method to solve the optimization problem and calculate the accuracy based on test data

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Paulnkk%2FSolving-L2-Logistic-Regression-Problem
PURL: pkg:github/Paulnkk/Solving-L2-Logistic-Regression-Problem

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 93.8 KB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: over 3 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: logistic-regression, nonlinear-optimization, supervised-learning-algorithms, supervised-machine-learning, trust-region-dogleg-algorithm

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