Access H2O Gains/Lift Tables
Retrieve either a single or many Gains/Lift tables from H2O objects.
h2o.gainsLift(object, ...) ## S4 method for signature 'H2OModel' h2o.gainsLift(object, newdata, valid = FALSE, xval = FALSE, ...) ## S4 method for signature 'H2OModelMetrics' h2o.gainsLift(object)
object |
Either an H2OModel object or an H2OModelMetrics object. |
... |
further arguments to be passed to/from this method. |
newdata |
An H2OFrame object that can be scored on. Requires a valid response column. |
valid |
Retrieve the validation metric. |
xval |
Retrieve the cross-validation metric. |
The H2OModelMetrics version of this function will only take H2OBinomialMetrics objects.
predict for generating prediction frames,
h2o.performance for creating
H2OModelMetrics.
## Not run:
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(prostate_path)
prostate[, 2] <- as.factor(prostate[, 2])
model <- h2o.gbm(x = 3:9, y = 2, distribution = "bernoulli",
training_frame = prostate, validation_frame = prostate, nfolds = 3)
h2o.gainsLift(model) ## extract training metrics
h2o.gainsLift(model, valid = TRUE) ## extract validation metrics (here: the same)
h2o.gainsLift(model, xval = TRUE) ## extract cross-validation metrics
h2o.gainsLift(model, newdata = prostate) ## score on new data (here: the same)
# Generating a ModelMetrics object
perf <- h2o.performance(model, prostate)
h2o.gainsLift(perf) ## extract from existing metrics object
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.