Man pages for DexGroves/hacktoolkit
Generic Hackathon Sauce

accuracyAccuracy.
add_encodingAdd an interaction, poly, one-hot style effect that can be...
aucClassic, binomial AUC.
binomial_devianceCalculate binomial deviance.
cross_train_predictTrain and predict out-of-fold so that predictions can be used...
h2o_cvdfParse the h2o cv grid into something less ridiculous.
h2o_plotcvPlot the CV error vis-a-vis plot.cv.glmnet. Except without...
logit_to_probApply logit transform on a vector x.
loo_encodeDo Owen Zhang style leave-one-out encoding of a categorical.
marginal_effectGet pseudo marginal effects from any model.
model_conformForm a model matrix with structure forced to correspond to...
multivariate_aucMultivariate AUC.
mv_binomial_devianceMultivariate binomial deviance.
predict_foldsGet a matrix of predictions for a list of models. Parallelise...
prob_to_logitApply the inverse logit transform on a vector x.
train_foldsTrain crossfold models. Parallelise with registerDoMC.
weighted_varCalculate weighted variance.
xgb_perfImitate gbm::gbm.perf for an xgboost::xgb.cv object.
DexGroves/hacktoolkit documentation built on May 6, 2019, 2:12 p.m.