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I'm working on an application where I'd like to retrieve the standard deviation of the predictions made by the trees within an ensemble (currently a `tfdf.keras.RandomForestModel`) to use as an estima…
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An ensemble of boosted trees can be trivially multi-threaded at inference time. We should support an option to set the threads for model inference for ingest.
The solution may be to support a "mode…
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I want to draw SHAP partial dependence plots with regression lines + and histograms.
I am using kernal explainer for multioutput regression as a wrapper models for xgboost / lgbm/ xgbr/ RF/ etc.
…
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Hi when I try using skgarden's RandomForestQuantileRegressor, I get the following error:
File "C:\Users\.......\anaconda3\lib\site-packages\skgarden\quantile\ensemble.py", line 461, in __init__
…
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Hi, I am using windows 10 and I was trying to install scikit garden. I already installed the dependencies using:
**pip3 install setuptools numpy scipy scikit-learn cython**
Next I tried to insta…
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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
…
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- MLP
- Dense(128, ReLU), Dense(2, softmax), categorized outputs; batch size 128
- 0.84665 score 5 fold cv
- Dense(256, ReLU), Dense(2, softmax), categorized outputs; batch size 128
- …
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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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I have tried to print the models composing the best ensemble with `show_models()`, but it fails if a `k_nearest_neighbours_regressor` is one of them. Is this due to this component not having an initi…
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@shankari as I had mentioned earlier today, `trajectory_evaluation_timestamp_metric_selection` and `trajectory_evaluation_spatio_temporal` are currently failing due to issues with the `emeval.metrics.…