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Thanks for developing the library. So far using to run a KNN on embedding vectors it has been pretty straight forward.
Are there any plans to speed up KNN search by introducing clever algorithms l…
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**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…
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Hola!
Tengo la duda que tantos hiperparámetros se debe definir en cada algoritmo. Pues en clases vemos que se pone 1 o 2 específicos. Pero si una va a documentación hay muchos hiperparámetros que se …
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can i get a knn algorithm in model.py as import and line 172.
I have a several promblems on import torch_points_kernels and torch_points.
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I'd like to start this discussion because I might research this topic when I get bored. I am not an OpenCL or CUDA expert (or even novice) so I'm putting my findings here as I go.
- https://forums.…
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Apply KNN algorithm for supervised machine learning for the prediction. In the output accuracy and confusion matrix must be printed. Show the accuracy is improved or not . Plotting should be done betw…
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In most cases more than 90% of runtime is spent within the knn algorithm.
Therefore it may be worth looking into other knn implementations.
Here is a list with various algorithms with python int…
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Replace weighted KNN with rescaling of variables? Or at least include a comparison of the methods.
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**Is your feature request related to a problem? Please describe.**
The VS-KNN [1] algorithm is widely used for recommender systems, and does not seem to have a cuML implementation at the moment.
I'd…
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@adishjain @nj4710 @ayushin78
As a GSSoC participant, I would like to work on this, please assign this task to me.