Description Usage Arguments Value
This function allows the testing of internal hhcartr functions in a standalone fashion. Function testbed requires an export so that it can be used by the devtools::check() and devtools::test() functions. The currently supported values for parameter test_func are ["best_split_", "split_using_original_data", "reflect_feature_space", "hhcart_reflect_feature_space_g", "hhcartr_regressor_find_better_split"].
1 2 3 4 5 6 7 8 9 10 11 | testbed(
X,
y,
most_freq_class,
split_original,
n_classes,
max_features,
test_func,
n_features,
X_matrix
)
|
X |
Training data, the feature variables. |
y |
Training data, the target variable. |
most_freq_class |
The most frequent class in the target variable. |
split_original |
boolean to indicate whether to split on original data or reflected data. |
n_classes |
The number of classes in y. |
max_features |
The maximum number of features to use when training random forests. |
test_func |
The hhcartr function to be tested. |
n_features |
The number of feature columns in the training dataset. |
X_matrix |
The A-matrix - rows containing the most frequent class in the training dataset. |
Returns the output of the test_func to be tested (if it returns output).
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