On 08/29/2016 11:22 PM, Nelson Liu wrote:
estimator.tree_.value gives the constant prediction of the tree at
each node. Think of it as what the tree would output if that node was
a leaf.
well it's also the weighted number of samples of each class, right?
__
Or just running estimator.tree_.apply(X_train) and inferring from there.
On 30 August 2016 at 13:22, Nelson Liu wrote:
> estimator.tree_.value gives the constant prediction of the tree at each
> node. Think of it as what the tree would output if that node was a leaf.
>
> I don't think we have a
estimator.tree_.value gives the constant prediction of the tree at each
node. Think of it as what the tree would output if that node was a leaf.
I don't think we have a readily available way of checking the number of
training samples of each class in a given tree node. The closest thing
easily acc
Hi,
What does the estimator.tree_.value array represent? I looked up the source
code but not able to get what it is. I am interested in the number of
training samples of each class in a given tree node.
Thanks
On Mon, Aug 29, 2016 at 9:22 PM, Andreas Mueller wrote:
>
>
> On 08/28/2016 03:23 PM
On 08/28/2016 03:23 PM, Nelson Liu wrote:
That should be:
node indicator = estimator.tree_.decision_path(X_test)
PR welcome :)
Was there a reason not to make this a "plot" example?
Would it take too long? Not having run examples by CI is a pretty big
maintenance burden.
_
Thanks Nelson.
Is there any way to access number of training samples in a node?
Thanks
On Mon, Aug 29, 2016 at 8:53 PM, Nelson Liu wrote:
> Hi,
> Yes, it's estimator.tree_.impurity
>
> Nelson
>
> On Mon, Aug 29, 2016, 09:18 Ibrahim Dalal via scikit-learn <
> scikit-learn@python.org> wrote:
>
>>
Hi,
Yes, it's estimator.tree_.impurity
Nelson
On Mon, Aug 29, 2016, 09:18 Ibrahim Dalal via scikit-learn <
scikit-learn@python.org> wrote:
> Hi,
>
> Is there a way to extract impurity value of a node in
> DecisionTreeClassifier? I am able to get this value in graph (using
> export_grapgviz), but
Hi,
Is there a way to extract impurity value of a node in
DecisionTreeClassifier? I am able to get this value in graph (using
export_grapgviz), but can't figure out how to get this value in my code. Is
there any attribute similar to estimator.tree_.children_left?
Thanks
On Mon, Aug 29, 2016 at 1
Oops, phone removed the underscore between the two words of the variable
name but I think you get the point.
Nelson
On Sun, Aug 28, 2016, 13:12 Ibrahim Dalal via scikit-learn <
scikit-learn@python.org> wrote:
> Dear Developers,
>
> DecisionTreeClassifier.decision_path() as used here
> http://sci
That should be:
node indicator = estimator.tree_.decision_path(X_test)
PR welcome :)
On Sun, Aug 28, 2016, 13:12 Ibrahim Dalal via scikit-learn <
scikit-learn@python.org> wrote:
> Dear Developers,
>
> DecisionTreeClassifier.decision_path() as used here
> http://scikit-learn.org/dev/auto_examples
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