ames_new |
Recent Ames Iowa Houses |
apd_hat_values |
Fit a 'apd_hat_values' |
apd_hat_values.data.frame |
Fit a 'apd_hat_values' |
apd_hat_values.default |
Fit a 'apd_hat_values' |
apd_hat_values.formula |
Fit a 'apd_hat_values' |
apd_hat_values.matrix |
Fit a 'apd_hat_values' |
apd_hat_values.recipe |
Fit a 'apd_hat_values' |
apd_isolation |
Fit an isolation forest to estimate an applicability domain. |
apd_isolation.data.frame |
Fit an isolation forest to estimate an applicability domain. |
apd_isolation.default |
Fit an isolation forest to estimate an applicability domain. |
apd_isolation.formula |
Fit an isolation forest to estimate an applicability domain. |
apd_isolation.matrix |
Fit an isolation forest to estimate an applicability domain. |
apd_isolation.recipe |
Fit an isolation forest to estimate an applicability domain. |
apd_pca |
Fit a 'apd_pca' |
apd_pca.data.frame |
Fit a 'apd_pca' |
apd_pca.default |
Fit a 'apd_pca' |
apd_pca.formula |
Fit a 'apd_pca' |
apd_pca.matrix |
Fit a 'apd_pca' |
apd_pca.recipe |
Fit a 'apd_pca' |
apd_similarity |
Applicability domain methods using binary similarity analysis |
apd_similarity.data.frame |
Applicability domain methods using binary similarity analysis |
apd_similarity.default |
Applicability domain methods using binary similarity analysis |
apd_similarity.formula |
Applicability domain methods using binary similarity analysis |
apd_similarity.matrix |
Applicability domain methods using binary similarity analysis |
apd_similarity.recipe |
Applicability domain methods using binary similarity analysis |
autoplot.apd_pca |
Plot the distribution function for principal components |
autoplot.apd_similarity |
Plot the cumulative distribution function for similarity metrics |
binary |
Binary QSAR Data |
binary_tr |
Binary QSAR Data |
binary_unk |
Binary QSAR Data |
okc_binary |
OkCupid Binary Predictors |
okc_binary_test |
OkCupid Binary Predictors |
okc_binary_train |
OkCupid Binary Predictors |
print.apd_hat_values |
Print number of predictors and principal components used. |
print.apd_pca |
Print number of predictors and principal components used. |
print.apd_similarity |
Print number of predictors and principal components used. |
qsar_binary |
Binary QSAR Data |
score |
A scoring function |
score.apd_hat_values |
Score new samples using hat values |
score.apd_isolation |
Predict from a 'apd_isolation' |
score.apd_pca |
Predict from a 'apd_pca' |
score.apd_similarity |
Score new samples using similarity methods |
score.default |
A scoring function |