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 12:53 AM, Nelson Liu <nfliu@uw.edu> wrote:

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/tree/unveil_tree_structure.html is giving the following error:

AttributeError: 'DecisionTreeClassifier' object has no attribute 'decision_path'

Kindly help.

Thanks _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

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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 <nfliu@uw.edu> 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 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 12:53 AM, Nelson Liu <nfliu@uw.edu> wrote:

...

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/tree/unveil_ tree_structure.html is giving the following error:

AttributeError: 'DecisionTreeClassifier' object has no attribute 'decision_path'

Kindly help.

Thanks _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

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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 <t3kcit@gmail.com> wrote:

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.

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Or just running estimator.tree_.apply(X_train) and inferring from there. On 30 August 2016 at 13:22, Nelson Liu <nfliu@uw.edu> 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 readily available way of checking the number of training samples of each class in a given tree node. The closest thing easily accessible is estimator.tree_.n_node_samples. Getting finer-grained counts of the number of samples in each class would require modifying the source code, I think.

On Mon, Aug 29, 2016 at 8:06 PM Ibrahim Dalal via scikit-learn < scikit-learn@python.org> wrote:

...

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 <t3kcit@gmail.com> wrote:

...

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.

_______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

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