yhat: Wrapper over the predict function

yhat.WrappedModelR Documentation

Wrapper over the predict function

Description

These functions are default predict functions. Each function returns a single numeric score for each new observation. Those functions are very important since information from many models have to be extracted with various techniques.

Usage

## S3 method for class 'WrappedModel'
yhat(X.model, newdata, ...)

## S3 method for class 'H2ORegressionModel'
yhat(X.model, newdata, ...)

## S3 method for class 'H2OBinomialModel'
yhat(X.model, newdata, ...)

## S3 method for class 'H2OMultinomialModel'
yhat(X.model, newdata, ...)

## S3 method for class 'scikitlearn_model'
yhat(X.model, newdata, ...)

## S3 method for class 'keras'
yhat(X.model, newdata, ...)

## S3 method for class 'LearnerRegr'
yhat(X.model, newdata, ...)

## S3 method for class 'LearnerClassif'
yhat(X.model, newdata, ...)

## S3 method for class 'GraphLearner'
yhat(X.model, newdata, ...)

## S3 method for class 'xgb.Booster'
yhat(X.model, newdata, ...)

## S3 method for class 'workflow'
yhat(X.model, newdata, ...)

## S3 method for class 'model_stack'
yhat(X.model, newdata, ...)

Arguments

X.model

object - a model to be explained

newdata

data.frame or matrix - observations for prediction

...

other parameters that will be passed to the predict function

Details

Currently supported packages are:

  • mlr see more in explain_mlr

  • h2o see more in explain_h2o

  • scikit-learn see more in explain_scikitlearn

  • keras see more in explain_keras

  • mlr3 see more in explain_mlr3

  • xgboost see more in explain_xgboost

  • tidymodels see more in explain_tidymodels

Value

An numeric vector of predictions


DALEXtra documentation built on June 14, 2022, 9:07 a.m.

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