Package index

All functions

ames_new

Recent Ames Iowa Houses

apd_hat_values()

Fit a apd_hat_values

apd_isolation()

Fit an isolation forest to estimate an applicability domain.

apd_pca()

Fit a apd_pca

apd_similarity()

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 qsar_binary binary_tr binary_unk

Binary QSAR Data

okc_binary okc_binary_train okc_binary_test

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.

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