Description Objects from the Class Slots Extends Methods Author(s) See Also Examples

Objects returned by base learner training functions.

Objects can be created by calls of the form `new("KNN.Regression.FitObj", ...)`

.

All classes inherit slots `config`

, `est`

, and `pred`

from `"Regression.FitObj"`

. Some base learners may have additional slots as described below.

For `KNN.Regression.FitObj`

:

`formula`

:Object of class

`"formula"`

, copy of same argument from training call`BaseLearner.Fit`

.`data`

:Object of class

`"data.frame"`

, copy of same argument from training call`BaseLearner.Fit`

.

For `NNET.Regession.FitObj`

:

`y.range`

:Object of class

`"numeric"`

, range of response variable in training data. This is used for scaling of data during prediction so that it falls between 0 and 1 for regression tasks.`y.min`

:Object of class

`"numeric"`

, minimum of response variable in training data. This is used for scaling of data during prediction so that it falls between 0 and 1 for regression tasks.

For `PENREG.Regression.FitObj`

and `BART.Regression.FitObj`

:

`mm`

:A list containing data structures needed for creating the matrix of predictors and the response variable from the formula and data frame.

Class `"Regression.FitObj"`

, directly.
Class `"BaseLearner.FitObj"`

, by class "Regression.FitObj", distance 2.

None.

Alireza S. Mahani, Mansour T.A. Sharabiani

`"BaseLearner.FitObj"`

, `"Regression.FitObj"`

1 | ```
showClass("KNN.Regression.FitObj")
``` |

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