getTreeInfo: Extract a single tree from the ensemble.
In LPStimeSeries: Learned Pattern Similarity and Representation for Time Series

Description Usage Arguments Value Note Author(s) See Also Examples

This function extracts the structure of a tree from a learnPattern object.

1	getTreeInfo(object, which.tree=1)

`object`	a `learnPattern` object.
`which.tree`	which tree to extract?

is a list with the following components:

`segment.length`	the proportion of the time series length used for both predictors and targets.
`target`	starting time of the target segment.
`target.type`	type of the target segment; 1 if observed series, 2 if difference series.
`tree`	Tree structure matrix with seven columns and number of rows equal to total number of nodes in the tree.

The seven columns of the tree structure matrix are:

`left daughter`	the row where the left daughter node is; 0 if the node is terminal
`right daughter`	the row where the right daughter node is; 0 if the node is terminal
`split segment`	start time of the segment used to split the node
`split type`	type of the predictor segment used to split the node; 1 if observed series, 2 if the different series are used. 0 if the node is terminal
`split point`	where the best split is
`status`	is the node terminal (-1) or not (-3)
`depth`	the depth of the node
`prediction`	the prediction for the node

For numerical predictors, data with values of the variable less than or equal to the splitting point go to the left daughter node.

Mustafa Gokce Baydogan

learnPattern

data(GunPoint)
set.seed(71)

## Learn patterns on GunPoint training series with 50 trees
ensemble=learnPattern(GunPoint$trainseries,ntree=50)
getTreeInfo(ensemble, 3)