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I've trained a model using scikit-learn's DecisionTreeClassifier on a dataset with 1,600,000 rows, 15 features, max_depth=7. When I try to convert using coremltools for a model over about 2 mb, I get …
mci-s updated
3 years ago
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Hi @gluc
If you want to do some sensitivity analysis on a decision tree you could manually change some of the probabilities and/or payoffs in the yaml file and then rerun the analysis. However, becau…
vnijs updated
8 years ago
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```
The current implementation uses a continuous feature at most once when creating
a decision rule. Multiple usage can make resulting tree better.
```
Original issue reported on code.google.com by …
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#### Description
I have developed a java code to produce a decision tree without any pruning strategy. The used desicion rule is also the default majority rule. Then I opted to use python for…
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Collaborative effort of the @neurodata lab, under the directions of @jovo.
### Describe the workflow you want to enable
The current `sklearn.tree` module is designed for batch learning only and …
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Can you help with a Decision Tree as asked bellow?
https://stackoverflow.com/questions/47203550/tensorflow-print-decision-tree
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```
The current implementation uses a continuous feature at most once when creating
a decision rule. Multiple usage can make resulting tree better.
```
Original issue reported on code.google.com by …
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In your readme, you mention that a decision tree is made from ANN. I intend to reuse the decision tree for further analysis, however, currently, I am unable to do. Can you me point me to the variable …
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```
The current implementation uses a continuous feature at most once when creating
a decision rule. Multiple usage can make resulting tree better.
```
Original issue reported on code.google.com by …