For Example, In the below decision tree dot file, I have 223 samples which
splits into [174, 49] in the first split and [110, 1] in the 2nd split
I would like to get the array of indices for the values of each split like
*[174, 49] and their corresponding indices (idx) like [[0, 1 ,5,
7,,200
I don't think putting that array of indices in a visualisation is a great
idea!
If you use my_tree.apply(X) you will be able to determine which leaf each
instance in X lands up at, and potentially trace up the tree from there.
On 8 February 2017 at 01:26, Nixon Raj wrote:
>
> For Example, In th
Nixon,
If you are using version 0.18 or later, you can reconstruct the information
you need using the `decision_path` method:
http://scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html
-Jeff
On Tue, Feb 7, 2017 at 3:21 PM, Joel Nothman wrote:
> I don't think putting th
On 12 January 2017 at 08:51, Gael Varoquaux
wrote:
> On Thu, Jan 12, 2017 at 08:41:51AM +1100, Joel Nothman wrote:
> > When the two versions deprecation policy was instituted, releases were
> much
> > more frequent... Is that enough of an excuse?
>
> I'd rather say that we can here decide that we
