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It could be nice to include a class that encapsulates data augmentation via Nearest Neighbour-inspired algorithms such as SMOTE (Synthetic Minority Over-sampling Technique), ADASYN etc. @tallamjr deve…
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Thanks for the support to Mamba2, but I met problems running classification task using mamba2 on v100 gpus.
my env:
- torch 1.12.1+cu116
- triton 2.1.0
config for mamba2 is copied from function …
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I read your project proposal. Your project is clear in terms of scope. However, it looks like a very straightforward project, which is not bad, but I want you guys to learn more.
So, here are two …
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Hi there,
I use the fabulous time series analysis models and would appreciate a little help to understand what support there is (if any) to understand:
- Feature weights, Importance and Contribu…
lefig updated
4 years ago
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### Description
The NSL-KDD dataset, provided by the University of New Brunswick's Canadian Institute for Cybersecurity, serves as a revised version of the original KDD Cup 1999 dataset. It is exte…
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**Multilabel classification**
http://scikit-learn.org/stable/auto_examples/plot_multilabel.html#sphx-glr-auto-examples-plot-multilabel-py
**A demo of K-Means clustering on the handwritten digits…
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Environment: xgboost4j_2.12:1.3.1 / spark 3.+
We'd like to use xgboost4j with the aft objective and could not find any existing examples.
I adapted the codes in https://xgboost.readthedocs.io/e…
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Prof. Howell, @AntJam-Howell
This code chunk, for the cluster analysis on the three neighborhood indices, runs fine within RStudio:
```
fit.ind
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In GitLab by @nivedita2293 on Sep 19, 2020, 15:42
# Line item(epic)
1. Disease identification and detection
## Problem Statement -
### [sub-task1: Identification(Disease identification)](https://gi…
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Is there any interest to implement some supervised discretization algorithms? I would imagine that it might work better than quantile on kmeans discretization in `KBinsDiscretizer`, particularly on so…