API for tomliptrot/tlml
Tom Liptrot's Machine Learning package

Global functions
accuracy Source code
all_same Source code
auc Source code
boost_variables Source code
clean_data Source code
clean_numeric Source code
clean_numeric_to Source code
df_to_mm Source code
en_coefs Source code
fit_glm Source code
fit_xgboost Source code
fit_xgboost.logical Source code
fit_xgboost.numeric Source code
is_date_ish Source code
left_roll_join Source code
like_logical Source code
lower_tri_cor Source code
mae Source code
make_diff_dates Source code
max_level Source code
median_impute Source code
minimise_skew Source code
mode_factor Source code
mode_impute Source code
plot.boostfit Source code
plot_roc Source code
poly_df Source code
predict.boostfit Source code
prop_na Source code
remove_correlated Source code
remove_sparse_terms Source code
rmse Source code
robust_scale Source code
roc Source code
roc.log Source code
scale_to Source code
set_ref Source code
set_ref_most_common Source code
sparse_cor Source code
to_logical Source code
tomliptrot/tlml documentation built on July 17, 2017, 10:39 a.m.