Files in brandon-mosqueda/SKM
Sparse Kernels Methods

.Rbuildignore
.gitignore
DESCRIPTION
LICENSE
NAMESPACE
R/RBO_BayesianOptimization.R R/RBO_KFold.R R/RBO_Utility.R R/RBO_Utility_Max.R R/RBO_Utils.R R/bayesian_model.R R/bayesian_model_model.R R/bayesian_tuner.R R/cross_validator.R R/custom_cross_validator.R R/data.R R/deep_learning.R R/deep_learning_bayesian_tuner.R R/deep_learning_grid_tuner.R R/deep_learning_model.R R/folds_manager.R R/generalized_boosted_machine.R R/generalized_boosted_machine_model.R R/generalized_linear_model.R R/generalized_linear_model_model.R R/geno_preparator.R R/genomic_selection.R R/glm_bayesian_tuner.R R/glm_grid_tuner.R R/globals.R R/grid_tuner.R R/gs_bayesian.R R/gs_bayesian_cross_evaluator.R R/gs_bayesian_predictor_preparator.R R/gs_cross_evaluator.R R/gs_fast_bayesian.R R/gs_fast_bayesian_cross_evaluator.R R/gs_predictor_preparator.R R/gs_radial.R R/gs_radial_model.R R/k_fold_cross_validator.R R/k_fold_strata_cross_validator.R R/kernels.R R/lme4GS.R R/markers_preparator.R R/metrics.R R/mixed_model.R R/mixed_model_model.R R/model.R R/model_helpers.R R/partial_least_squares.R R/partial_least_squares_model.R R/radial_bayesian_tuner.R R/radial_grid_tuner.R R/random_cross_validator.R R/random_forest.R R/random_forest_model.R R/support_vector_machine.R R/support_vector_machine_model.R R/tuner.R R/utils.R R/validator.R README.md
data/Iris.RData
data/IrisMatrix.RData
data/Maize.RData
data/Wheat.RData
inst/examples/bayesian_model.R inst/examples/deep_learning.R inst/examples/generalized_boosted_machine.R inst/examples/generalized_linear_model.R inst/examples/gs_bayesian.R inst/examples/gs_fast_bayesian.R inst/examples/mixed_model.R inst/examples/partial_least_squares.R inst/examples/random_forest.R inst/examples/support_vector_machine.R install.R man-roxygen/cv-tune-params.R man-roxygen/details-no-variance.R man-roxygen/details-remove-nas.R man-roxygen/details-tuning.R man-roxygen/details-uni-loss-functions.R man-roxygen/other-base-params.R man-roxygen/return-model.R man-roxygen/return-predict.R man-roxygen/tunable-description.R man-roxygen/x-matrix-param.R man/BayesianOptimization.Rd man/KFold.Rd man/Maize.Rd man/Matrix_runif.Rd man/Min_Max_Inverse_Scale_Vec.Rd man/Min_Max_Scale_Mat.Rd man/Utility.Rd man/Utility_Max.Rd man/Wheat.Rd man/accuracy.Rd man/bayesian_model.Rd man/best_lines_match.Rd man/brier_score.Rd man/categorical_summary.Rd man/cholesky.Rd man/cholesky_no_definite.Rd man/coef.Model.Rd man/confusion_matrix.Rd man/cv_kfold.Rd man/cv_kfold_strata.Rd man/cv_leve_one_group_out.Rd man/cv_na.Rd man/cv_one_env_out.Rd man/cv_random.Rd man/cv_random_line.Rd man/cv_random_strata.Rd man/deep_learning.Rd man/echo.Rd man/f1_score.Rd
man/figures/SKM.drawio
man/figures/accuracy.png
man/figures/binary_confusion_matrix.png
man/figures/brier_score.png
man/figures/f1_score.png
man/figures/glmnet_penalty.png
man/figures/kappa_coefficient.png
man/figures/linear_kernel.png
man/figures/maape.png
man/figures/mae.png
man/figures/matthews_coefficient.png
man/figures/mse.png
man/figures/ndcg.png
man/figures/nrmse.png
man/figures/pearson.png
man/figures/polynomial_kernel.png
man/figures/precision.png
man/figures/r2.png
man/figures/radial_kernel.png
man/figures/recall.png
man/figures/rmse.png
man/figures/sensitivity.png
man/figures/sigmoid_kernel.png
man/figures/spearman.png
man/figures/specificity.png
man/figures/tuning_algorithm.png
man/generalized_boosted_machine.Rd man/generalized_linear_model.Rd man/gs_bayesian.Rd man/gs_fast_bayesian.Rd man/gs_summaries.Rd man/hush.Rd man/is_empty.Rd man/kappa_coeff.Rd man/kernelize.Rd man/maape.Rd man/mae.Rd man/math_mode.Rd man/matthews_coeff.Rd man/mixed_model.Rd man/mkdir.Rd man/mse.Rd man/ndcg.Rd man/nonull.Rd man/nrmse.Rd man/numeric_summary.Rd man/partial_least_squares.Rd man/pccc.Rd man/pcic.Rd man/pearson.Rd man/pr_auc.Rd man/precision.Rd man/predict.BayesianModel.Rd man/predict.MixedModel.Rd man/predict.Model.Rd man/predict.PartialLeastSquaresModel.Rd man/r2.Rd man/random_forest.Rd man/recall.Rd man/rmse.Rd man/roc_auc.Rd man/sensitivity.Rd man/spearman.Rd man/specificity.Rd man/support_vector_machine.Rd man/to_data_frame.Rd man/to_matrix.Rd man/write_csv.Rd tests/testthat.R tests/testthat/helper-model_expectations.R tests/testthat/test-bayesian_model.R tests/testthat/test-cross_validators.R tests/testthat/test-deep_learning.R tests/testthat/test-generalized_boosted_machine.R tests/testthat/test-generalized_linear_model.R tests/testthat/test-kernels.R tests/testthat/test-metrics.R tests/testthat/test-random_forest.R tests/testthat/test-support_vector_machine.R tests/testthat/test-tuners.R tests/testthat/test-utils.R
brandon-mosqueda/SKM documentation built on Feb. 8, 2025, 5:24 p.m.