Description Usage Arguments Value

Building a single level for the Random Forest of SDTs.

1 2 | ```
SoftForestPredDepth1(trainresponse, train, test, num.features, ntry,
keep = FALSE)
``` |

`trainresponse` |
A vector of responses |

`train` |
A matrix or data frame consisting of all possible variables to attempt for the training set. |

`test` |
A matrix or data frame consisting of all possible variables to attempt for the test set. |

`num.features` |
The number of variables in the dataset to possibly try. The leftmost number of variables in the dataset are the variables chosen. |

`ntry` |
The number of variables from the |

`keep` |
Logical if weights from a single observation should be kept. Keep FALSE if a Random Forest is to be built. |

A vector of the final fitted probabilities for this classification.

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