predict,DecisionTreeClassifier-method

object

inputs

<p>Is param to define the type of predict.
It can be "class", to get class labels
Or "prob" to get probabilites for class in each input.
Default is "class"</p>

type

<p>Function to predict inputs in Decision Tree</p>

Providing a collection of techniques for semi-supervised
classification, regression and clustering. In semi-supervised problem, both labeled and unlabeled
data are used to train a classifier. The package includes a collection of
semi-supervised learning techniques: self-training, co-training, democratic,
decision tree, random forest, 'S3VM' ... etc, with a fairly intuitive interface
that is easy to use.

Francisco Jes<c3><ba>s Palomares Alabarce

SSLR

Semi-Supervised Classification, Regression and Clustering
Methods

Jos<c3><a9> Manuel Ben<c3><ad>tez

Isaac Triguero

Christoph Bergmeir

Mabel Gonz<c3><a1>lez

predict,DecisionTreeClassifier-method function

Function to predict inputs in Decision Tree — predict,DecisionTreeClassifier-method

Function to predict inputs in Decision Tree

predict,DecisionTreeClassifier-method: Function to predict inputs in Decision Tree

Description

Usage

Arguments