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This is a major deciding point of this project. We can use this issue thread to discuss performances of the different methods.
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
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Hi:
When trying to build code (make), I found an error saying "No rules to build objective src/googletest-build/googlemock/gtest/libgtest.a needed for kernel_pca_test. Halt."
Make process finish…
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The jupyter kernel dies when I run dimension_reduction function with ~200,000 cells.
I am running stream==1.0.0 now. Is there any suggestion on how to run it or if I can skip this step and use the s…
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Is that possible to add a method to PCA-algorithms to extract the important features?
I like the approach for classical PCA, but struggle how to adapt to methods from **mlxtend** library
```
def …
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when I run the code
```
adata.obsm['X_pca']=adata.obsm['scaled|original|X_pca']
ov.utils.embedding(adata,
basis='X_pca',
color='CST3',
frame…
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Author: @vqd8a
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Hola!
He probado con distintas configuraciones de kernel, C y dimensión con PCA al usar BERT como *feature space* para el modelo SVC pero no logro que converja (se queda calculando eternamente y si…
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In the notebook: https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker_batch_transform/introduction_to_batch_transform/batch_transform_pca_dbscan_movie_clusters.ipynb
After tra…
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Thank you for your wonderful work and algorithm! I found it really helpful.
Now I am trying to apply inkpca to a large image dataset. However, I found that in the 'experiments.py', there are no resul…