Files in easyml
Easily Build and Evaluate Machine Learning Models

inst
inst/examples
inst/examples/cocaine_dependence.R inst/examples/example.R inst/examples/prostate.R
inst/data-raw
inst/data-raw/cocaine_dependence.txt
inst/data-raw/prostate.txt
inst/data-raw/save.R inst/notes.md
tests
tests/testthat.R
tests/testthat
tests/testthat/test-process.R tests/testthat/test-avNNet.R tests/testthat/test-utils.R tests/testthat/test-resample.R tests/testthat/test-support_vector_machine.R tests/testthat/test-measure.R tests/testthat/test-random_forest.R tests/testthat/test-deep_neural_network.R tests/testthat/test-plot.R tests/testthat/test-setters.R tests/testthat/test-preprocess.R tests/testthat/test-glinternet.R tests/testthat/test-glmnet.R tests/testthat/test-neural_network.R tests/testthat/test-generate.R
NAMESPACE
NEWS.md
data
data/cocaine_dependence.rda
data/prostate.rda
R
R/deep_neural_network.R R/utils.R R/avNNet.R R/core.R R/random_forest.R R/preprocess.R R/plot.R R/resample.R R/glmnet.R R/support_vector_machine.R R/glinternet.R R/process.R R/generate.R R/measure.R R/easyml.R R/neural_network.R R/datasets.R R/setters.R README.md
MD5
DESCRIPTION
man
man/extract_variable_importances.easy_random_forest.Rd man/fit_model.easy_neural_network.Rd man/predict_model.Rd man/extract_coefficients.Rd man/preprocess_identity.Rd man/plot_variable_importances_processed.Rd man/plot_model_performance_gaussian_r2_score.Rd man/set_parallel.Rd man/fit_model.easy_glinternet.Rd man/set_random_state.Rd man/set_plot_predictions.Rd man/predict_model.easy_support_vector_machine.Rd man/set_cores.Rd man/easy_deep_neural_network.Rd man/generate_model_performance.Rd man/predict_model.easy_avNNet.Rd man/remove_variables.Rd man/resample_stratified_simple_train_test_split.Rd man/extract_coefficients.easy_glmnet.Rd man/fit_model.easy_support_vector_machine.Rd man/set_preprocess.Rd man/set_measure.Rd man/preprocess_scale.Rd man/easy_neural_network.Rd man/fit_model.easy_glmnet.Rd man/plot_model_performance_gaussian_correlation_score.Rd man/predict_model.easy_glinternet.Rd man/easy_support_vector_machine.Rd man/measure_auc_score.Rd man/cocaine_dependence.Rd man/plot_predictions_binomial.Rd man/measure_r2_score.Rd man/set_categorical_variables.Rd man/easyml.Rd man/easy_glmnet.Rd man/generate_variable_importances.Rd man/plot_predictions_gaussian.Rd man/prostate.Rd man/set_looper.Rd man/reduce_cores.Rd man/plot_model_performance_binomial_auc_score.Rd man/easy_random_forest.Rd man/fit_model.Rd man/set_resample.Rd man/predict_model.easy_neural_network.Rd man/plot_coefficients_processed.Rd man/resample_fold_train_test_split.Rd man/set_looper_.Rd man/resample_stratified_class_train_test_split.Rd man/plot_model_performance_gaussian_mse_score.Rd man/measure_correlation_score.Rd man/easy_glinternet.Rd man/fit_model.easy_random_forest.Rd man/easy_avNNet.Rd man/correlation_test.Rd man/fit_model.easy_deep_neural_network.Rd man/fit_model.easy_avNNet.Rd man/extract_variable_importances.Rd man/predict_model.easy_glmnet.Rd man/easy_analysis.Rd man/generate_coefficients.Rd man/process_coefficients.Rd man/process_variable_importances.Rd man/set_independent_variables.Rd man/set_plot_model_performance.Rd man/measure_mse_score.Rd man/resample_simple_train_test_split.Rd man/set_column_names.Rd man/set_dependent_variable.Rd man/generate_predictions.Rd man/plot_roc_curve.Rd man/predict_model.easy_random_forest.Rd man/predict_model.easy_deep_neural_network.Rd man/plot_model_performance_histogram.Rd
LICENSE
easyml documentation built on June 26, 2017, 9:02 a.m.