Contents Menu Expand Light mode Dark mode Auto light/dark mode
Nueramic. MathML
Light Logo Dark Logo
Nueramic. MathML

Notes

  • Installation
  • Examples

Contents

  • calculus
  • one_optimize
  • visualize.one_animation
  • multi_optimize
    • Gradient descent with constant step
    • Gradient descent with fractional step
    • Gradient descent with optimal step
    • Nonlinear conjugate gradient method
    • BFGS (Broyden–Fletcher–Goldfarb–Shanno) algorithm
    • Newton’s method under equality constrains
    • Log Barrier method
    • Primal-dual algorithm
  • visualize.multi_animation
  • ml.classification
  • ml.regression
  • visualize.ml_animation
  • ml.optimize
  • ml.metrics
    • nueramic_mathml.ml.metrics.recall
    • nueramic_mathml.ml.metrics.fpr
    • nueramic_mathml.ml.metrics.precision
    • nueramic_mathml.ml.metrics.accuracy
    • nueramic_mathml.ml.metrics.f_score
    • nueramic_mathml.ml.metrics.auc_roc
    • nueramic_mathml.ml.metrics.roc_curve
    • nueramic_mathml.ml.metrics.binary_classification_report
    • nueramic_mathml.ml.metrics.best_threshold
    • nueramic_mathml.ml.metrics.r2_score
    • nueramic_mathml.ml.metrics.mse
    • nueramic_mathml.ml.metrics.mae
    • nueramic_mathml.ml.metrics.mape
    • nueramic_mathml.ml.metrics.regression_report
Back to top

Python Module Index

n
 
n
- nueramic_mathml
    nueramic_mathml.calculus
    nueramic_mathml.ml.classification
    nueramic_mathml.ml.optimize
Copyright © 2022, Victor Barbarich, Adelina Tsoi
Made with Sphinx and @pradyunsg's Furo