lazy.predict: Preprocess and predict wrapper
In XanderHorn/lazy: Automated data pre-processing and machine learning

Description Usage Arguments Value Author(s) Examples

Pre-processes data and predicts. Function to be used in scoring environment. For classification problems the result will contain both the predicted class and probabilities.

1	lazy.predict(data, model.object, pipeline = NULL, mapping.list = NULL)

`data`	[required \| data.frame] New data to produce predictions for.
`model.object`	[required \| h2o] An h2o model object.
`pipeline`	[required \| list \| default=NULL] List object returned either by automl or preprocess, if left as NULL, it is assumed that a prediction is required on an already pre-processed dataset.
`mapping.list`	[required \| list \| default=NULL] List object returned either by automl or preprocess, if left as NULL, it is assumed that a prediction is required on an already pre-processed dataset..

A data.frame object with predictions.

Xander Horn

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## NOT RUN
res <- automl(train=iris, valid=iris, y="Species")
preds <- lazy.predict(data=iris, model.object=res$models[1], pipeline=res$pipeline, mapping.list=res$mapping.list)