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Reproduction:
```
import numpy as np
import pandas as pd
from rulefit import RuleFit
boston_data = pd.read_csv("boston.csv", index_col=0)
y = boston_data.medv.values
X = boston_data.drop(…
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In the **Disadvantages** section of the RuleFit [Guidelines](https://christophm.github.io/interpretable-ml-book/rulefit.html#guidelines) you write:
"*For example one decision rule (feature) for the…
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Against the latest commit: 646d8ee
```python
Mar 26 14:45:43 ubuntu-xenial celery[27022]: File "/app/venv/local/lib/python2.7/site-packages/rulefit/__init__.py", line 1, in
Mar 26 14:45:43 ubu…
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The graphic that shows how a tree can be turned into decision rules is currently drawn by hand.
It would be great to have a pretty version of it, created on a computer.
The format can be SVG (pref…
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Limits the maximum number of rules coming out of the rule generation.
See also http://statweb.stanford.edu/~jhf/r-rulefit/RuleFit_help.html#rulefit
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Request for project inclusion in scikit-learn-contrib
* Project name: skope-rules
* Project description: Learn rules with specified minimum precision/ minimum recall for supervised binary classifi…
ngoix updated
6 years ago
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In the original paper, the trees have random depth, but this current implementation uses only fixed tree depth.
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Hi Christoph, Thanks for this code! I'm curious that although it allows Classification based tree generators, when the coefficients are calculated everything goes through LassoCV - but doesn't this us…
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Awesome project! Thanks!
Could you also add a prediction of leaf ids in each tree.
For instance if I have 10 trees in the model, then for each event I would get a vector of length 10 with ids f…
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*Issue migrated from trac ticket # 2670*
**milestone:** HeuristicLab 3.3.15 | **component:** Problems.DataAnalysis.Views | **priority:** medium | **resolution:** done
#### 2016-09-19 15:15:31: @gkro…