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Hi,
I noticed that the TreeExplainer only supports sklearn, xgboost, lightgbm, and catboost models, is there anyway to introduce a Tree ensemble other than the supported models ?
I am currently …
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There is a recent paper which explains how to do explain_prediction for trees and tree ensembles, which they claim to be better than treeinterpreter-like measures: https://arxiv.org/pdf/1706.06060.pdf…
kmike updated
5 years ago
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It is very interesting approach to data analysis to use complex machine learning models for exploratory data analysis.
There are some works that tries to make tree ensembles interpretable by extrac…
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My data set is imbalanced; I understand from the [Interpreting Tree Ensembles with inTrees](https://arxiv.org/pdf/1408.5456v1.pdf) that Error = accuracy.
In an imbalanced set Error rate is not ver…
ghost updated
6 years ago
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I found this unexpected
```
import nengo
import nengo_loihi
def make_subnet():
with nengo.Network() as subnet:
nengo_loihi.add_params(subnet)
subnet.ens = nengo.Ensemble…
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We just disabled warnings on travis in #9840.
I don't think we should do that. I've been a bit absent lately, but I think the current state of the warnings is pretty bad. Many of these seem recent ch…
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#### Describe the workflow you want to enable
I want to be able to define a custom criterion for tree splitting when building decision trees / tree ensembles.
More specifically, it would be great t…
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Is this repo still being updated? I see the branch Improve-Store (and forks) have been updated recently, but these branches are quite different from the latest release. 0.6 had some major errors for m…
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I am very glad to see your paper "RuleCOSI+: Rule extraction for interpreting classification tree ensembles".
I am afraid to point out that I don't think the pseudo code in your paper matches the t…
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Currently, leaves uses a standalone matrix implementation that's almost completely binary compatible with gonum/mat.Dense implementation.
It would be very beneficial to just use the one from gonum/…