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The following code snippet results in an error:
```
from sklearn.datasets import load_iris
from imodels import RuleFitClassifier
iris = load_iris()
X, Y = iris.data, iris.target
rulefit = Ru…
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@lnthach, quick question: should we add the `firstdiff` parameter in `sktime` too?
You could make a PR to change the interface class, since changes in parameters do not propagate through the interf…
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I am amazed by this library. My background is in computer vision and i would like to contribute to this library.
My first project would be something like creating tutorials for creating a cascade wit…
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Start writing the background section of the project paper, to explain the story behind the research.
Doing this now will mean less to do later on.
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From @petermr 's branch:
# readable_climate_reports
(*PMR: editing in petermr branch and adding comments*)
## Purpose
Make climate reports machine readable, so they can be rendered in vari…
mitko updated
2 years ago
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# General features
- [x] add grids
- [x] add successive halving
- [ ] add timeouts
- [x] add simple models
- [x] add cleanup function for dirty floats
- [ ] add cleanup for low cardinality int
…
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Following things should be clear
- The test statistic q follows which distribution (suggest: Studentized Range Distribution with parameter k = number of algorithms bud I haven't found anything on t…
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In #5550 I noted that to get pyversion, you need to use classifiers. However, there are a lot of python libraries out there that also use [`python_requires`](https://packaging.python.org/guides/distri…
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> Here is a simple code -
> from sklearn.metrics import accuracy_score, roc_auc_score, confusion_matrix
>
> params = {'metric' : 'auc',
> 'boosting_type' : 'gbdt',
> 'colsam…
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According to the README, it should be possible to use code like the following to calculate shapley values and create a waterfall plot using a `sklearn` classifier:
```
import shap
import sklearn
…