Akilu Rilwan

Creating chunks of segments

1

Hi, Thank you for putting these immense resources in one place. 1. May I please ask why the creation of fixed-sized `chunks/blocks` of the training series? 2. Support I choose...

OSError: libcusparse.so.10.0: cannot open shared object file: No such file or directory

1

Trying to work with ThunderGBM on Ubuntu. Installation seems to be successful: ``` $ pip install thundergbm Requirement already satisfied: thundergbm in ./venv/lib/python3.8/site-packages (0.3.16) Requirement already satisfied: numpy in ./venv/lib/python3.8/site-packages...

This is not an issue but a question (not sure how to tag it as question). a. Can you explain how the `ECOC` class works please? For example, generating the...

NameError: name 'cvRfHierarchyT' is not defined

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@SalilVishnuKapur Can't figure out where this variable is defined in the Pointfeatures.py script, but getting this error: ``` Traceback (most recent call last): File "PointFeatures.py", line 163, in arrRfH =...

@taspinar , The processed data is no longer available (on both Drive and DropBox). Can you please share it again.

I am using `FastTreeSHAP` to help explained my random forest model prediction having over 40K samples and 24 features. ``` explainer = fasttreeshap.TreeExplainer(model, algorithm='auto' ,n_jobs=-1) shap_values = explainer(X_test).values shap_values.shape (40682,...

TypeError: BorutaPy.__init__() got an unexpected keyword argument 'early_stopping'

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Looks like the [early_stopping](https://github.com/scikit-learn-contrib/boruta_py/blob/f783995eac12442af0c2b288368ae0802d4bea51/boruta/boruta_py.py#L204) parameter wasn't used. ```` def __init__(self, estimator, n_estimators=1000, perc=100, alpha=0.05, two_step=True, max_iter=100, random_state=None, verbose=0, early_stopping=False, n_iter_no_change=20): self.estimator = estimator self.n_estimators = n_estimators self.perc = perc self.alpha...

After days of trying to experimenting with this software in Octave, I have to admit I cannot work with any of the algorithms included in it: ``` >> [trainTime,testTime,predictedResults] =...

I am experimenting with this package (Octave version) on MacOS. I can added the Multi_Imbalance path variable to the Octave path, and loaded the Wine_data_set_indx_fixed.mat dataset. However, I got the...

I kept receiving the following error when computing meta-features in my dataset: ``` site-packages/pymfe/_internal.py:1568: UserWarning: It is not possible make equal discretization warnings.warn("It is not possible make equal discretization") ```...