wangvei / FortLearner

FortLearner

Machine learning scripts for Fortranner.

requirement

gfortran >= 7.4.0
gcc >= 7.4.0
X86_64

option

doxygen
make
graphviz

Implemented

• Linear Regression: see sample_scripts/main_linear_regression.f90
  • linear_regression
  • lasso_regression
  • ridge_regression
• Logistic Regression: see sample_scripts/main_logistic_regression.f90
  • logistic_regression
• Stochastic Gradient Descent: see sample_scripts/main_sgd_regressor.f90
  • sgd_regressor
• Decision Tree: see sample_scripts/main_decision_tree.f90
  • decision_tree_regressor
  • extra_tree_regressor
  • clouds_regressor
  • lawu_regressor
• Ensemble Trees: see sample_scripts/main_forest.f90
  • random_forest_regressor
  • extra_trees_regressor
  • deep_forest_regressor(?)
• Boosting Trees: see sample_scripts/main_gradient_boosting_tree.f90
  • gradient_boosting_tree_regressor
  • gradient_boosting_extra_tree_regressor
  • gradient_boosting_clouds_regressor
  • gradient_boosting_lawu_regressor
• Dimensionality Reduction: see sample_scripts/main_pca.f90
  • pca

WIP

• weighted oblique decision tree
• residual likelihood forest
• slow-growing tree

ToDo

• Decision Tree
  • Axis-Parallel
    • sliq
    • residual likelihood tree
  • Oblique
    • simulated annealing decision tree
    • rotation tree
    • random rotation tree
    • soft decision tree
    • CART-LC
    • OC1
    • householder cart
• Ensemble Trees
• Gradient Boosting Decision Tree
  • Axis-Parallel
    • Xgboost
    • LightGBM
    • CatBoost
    • SCORE: Selective Cascade of Residual ExtraTrees
    • NGBoost
• Multi-Layer Perceptron