apply_transform | Transform second argument by first. |
as_rquery_plan | Convert vtreatment plans into a sequence of rquery... |
BinomialOutcomeTreatment | Stateful object for designing and applying binomial outcome... |
buildEvalSets | Build set carve-up for out-of sample evaluation. |
center_scale | Center and scale a set of variables. |
classification_parameters | vtreat classification parameters. |
design_missingness_treatment | Design a simple treatment plan to indicate missingingness and... |
designTreatmentsC | Build all treatments for a data frame to predict a... |
designTreatmentsN | build all treatments for a data frame to predict a numeric... |
designTreatmentsZ | Design variable treatments with no outcome variable. |
dot-wmean | Compute weighted mean |
fit | Fit first arguemnt to data in second argument. |
fit_prepare | Fit and prepare in a cross-validated manner. |
fit_transform | Fit and transform in a cross-validated manner. |
flatten_fn_list | Flatten a list of functions onto d. |
format.vtreatment | Display treatment plan. |
get_feature_names | Return feasible feature names. |
get_score_frame | Return score frame from vps. |
getSplitPlanAppLabels | read application labels off a split plan. |
get_transform | Return underlying transform from vps. |
kWayCrossValidation | k-fold cross validation, a splitFunction in the sense of... |
kWayStratifiedY | k-fold cross validation stratified on y, a splitFunction in... |
kWayStratifiedYReplace | k-fold cross validation stratified with replacement on y, a... |
makeCustomCoderCat | Make a categorical input custom coder. |
makeCustomCoderNum | Make a numeric input custom coder. |
makekWayCrossValidationGroupedByColumn | Build a k-fold cross validation splitter, respecting (never... |
mkCrossFrameCExperiment | Run categorical cross-frame experiment. |
mkCrossFrameMExperiment | Function to build multi-outcome vtreat cross frame and... |
mkCrossFrameNExperiment | Run a numeric cross frame experiment. |
MultinomialOutcomeTreatment | Stateful object for designing and applying multinomial... |
multinomial_parameters | vtreat multinomial parameters. |
novel_value_summary | Report new/novel appearances of character values. |
NumericOutcomeTreatment | Stateful object for designing and applying numeric outcome... |
oneWayHoldout | One way holdout, a splitFunction in the sense of... |
patch_columns_into_frame | Patch columns into data.frame. |
pre_comp_xval | Pre-computed cross-plan (so same split happens each time). |
prepare | Apply treatments and restrict to useful variables. |
prepare.multinomial_plan | Function to apply mkCrossFrameMExperiment treatemnts. |
prepare.simple_plan | Prepare a simple treatment. |
prepare.treatmentplan | Apply treatments and restrict to useful variables. |
print.multinomial_plan | Print treatmentplan. |
print.simple_plan | Print treatmentplan. |
print.treatmentplan | Print treatmentplan. |
print.vtreatment | Print treatmentplan. |
problemAppPlan | check if appPlan is a good carve-up of 1:nRows into nSplits... |
regression_parameters | vtreat regression parameters. |
rqdatatable_prepare | Apply a treatment plan using rqdatatable. |
rquery_prepare | Materialize a treated data frame remotely. |
solve_piecewise | Solve as piecewise linear problem, numeric target. |
solve_piecewisec | Solve as piecewise logit problem, categorical target. |
spline_variable | Spline variable numeric target. |
spline_variablec | Spline variable categorical target. |
square_window | Build a square windows variable, numeric target. |
square_windowc | Build a square windows variable, categorical target. |
track_values | Track unique character values for variables. |
unsupervised_parameters | vtreat unsupervised parameters. |
UnsupervisedTreatment | Stateful object for designing and applying unsupervised... |
value_variables_C | Value variables for prediction a categorical outcome. |
value_variables_N | Value variables for prediction a numeric outcome. |
variable_values | Return variable evaluations. |
vnames | New treated variable names from a treatmentplan$treatment... |
vorig | Original variable name from a treatmentplan$treatment item. |
vtreat-package | vtreat: A Statistically Sound 'data.frame'... |
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