asha24choudhary

Hi @amit-sharma, I am trying to generate counterfactuals using the following code ``` ##data train_dataset, test_dataset, y_train, y_test = train_test_split(df1, y, test_size=0.2, random_state=42, stratify = y) #train test split X_train...

Data correlation matrix is singular

5

So I might be missing some theoretical concept, but want to clear it now. I have a dataset, take the fork scenario. My data is generated as follows: ``` #c)...

Adding background knowledge using FCI

2

Hi. I am using fci using the background knowledge. I have a dataframe with 287 features. I'm doing this `cg_without_background_knowledge = fci(merged_data1.to_numpy(), node_names=merged_data1.columns)`. The output of this is a tuple...

Conditional independence test for mixed dataset (binary and continuous data)

1

Hi there. I was going through the conditional independence tests and found for non-linear dataset, the independence tests recommended is GDPC & CMIknn. However, if I have a dataset with...

Hello. First of all thank you for such a nice package. Wanted to ask you if the online change point detection has option to train on GPU. I went through...

Thank you for this wonderful library. However, I'm trying to formulate the problem a bit differently, where I have a time series dataset with several features, can I get which...