apply_levels | Converts the column factor levels in 'df' to those in... |
argument_match_test | Test function with non-matching arguments |
capitalize_first | Capitalize the first letter of a word |
classification_model | Generic function for creating a classification model |
create_and_run_test | Create test and run it |
createtest | Create a classification or regression test case |
crtests | crtests: A package for creating and executing classification... |
drop_na | Remove NAs according to a strategy |
evaluate | Evaluate the performance of a prediction. |
evaluate_problem | Generic function for evaluation of test results |
evaluation | Create an evaluation object |
extract_formula | Extract a formula from a test |
factor_length | Determine the length of the factors in a data.frame |
group_levels | Group infrequent levels in 'data', either a factor or a... |
group_levels.default | Group infrequent factor levels |
is_complete_row | Determine if the rows in a data.frame have NAs |
make_predictions | Make predictions using a model Generic function for testing a... |
method_prepare | Method-specific data preparation |
multisample | Make multiple samples of data |
multitest | Create and run multiple instances of a test |
multitest_evaluation | Create an evaluation of multiple tests |
na_count | Count the number of NAs in an object |
prepare | Prepare the data for the specified test. |
prepare_data | Prepare data for training or testing. |
print.evaluation | Print an 'evaluation' object |
print.multitest_evaluation | Print a multitest_evaluation |
print.multitest_evaluation.summary | Print a multitest_evaluation.summary object |
random_string | Generate a random string |
regression_model | Fit a regression model Generic function for fitting a... |
remove_names | Set any names of x to "" |
replace_names | Replace strings in the names of an object |
runtest | Run a classification or regression test |
summary.evaluation | Summary of an evaluation |
summary.multitest_evaluation | Make a summary of multiple test evaluations |
train_model | Train a classification or regression model |
util | Utility functions |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.