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Hi, I am trying to use the survshap library to extract SHAP values from a random survival model. I passed the training dataset to the SurvivalModelExplainer. The following code gives an idea:
```
…
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When calling `get_feature_names_out` on `EstimatorTransformer` or a `Pipeline` that contains `EstimatorTransformer` you will get the following error:
`AttributeError: 'EstimatorTransformer' object ha…
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`_scale_est` method has an else path that uses an undefined variable `scale.scale_est`. `scale` refers to the module robust.scale but there is no scale_est.
```
else:
return s…
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The recent robust merges need another review and maybe some enhancements before release
(items what I remember right now)
- check api
- RLMXxx
- CovXxx,
- cov function like tyler, ogk…
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### Describe the new feature or enhancement
Scikit-learn [best practice](https://scikit-learn.org/stable/developers/develop.html#instantiation) states that there should be no input validation or modi…
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## Description
I'm not sure if this is a bug or expected behaviour or place to improve, but I've noticed weird thing, namely when I provide data with pandas dataframe directly:
```
model = lgb.LGBM…
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from libtsvm.estimators import TSVM
from tensorflow.keras import backend as K
m_temp = tf.keras.Model(inputs=model.input, outputs=model.get_layer('drop_out').output)
t = m_temp.predict(train_ids)
…
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Hi,
I am trying to use a uBoost BDT to achieve uniform signal efficiency. My base estimator is a Keras model (Tensorflow 2.2), which I have written as a scikit-learn BaseEstimator subclass using t…
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I have the following data:
```
ds unique_id y
0 2003-01-01 Bigeye Tuna 1561.149362
1 2003-01-01 Bluefin Tuna 9619.000000
2 2003-01-01 Southern Bluefin Tuna 3656.876812
3 20…
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I can't get the latest version to actually run any tests at all.
I think the issue has to do with relative imports. Instead of `from bhmm import ...`, everything uses relative pathnames inside of th…