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We should have at least these 2 meta-classifiers:
* one-vs-the-rest / one-vs-all
* one-vs-one
For more information on both strategies look at this page https://scikit-learn.org/stable/modules/m…
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Hi,
I am trying to classify text in 34 mutually exclusive classes using BERT. After preparing train, dev and test TSV files, and I try to execute the command for training and testing
`!python be…
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I have a data set that has a label made of 0 and 1, but the classification always runs as multiclass.
The command line is:
> mlnet classification --dataset output.csv --label-col 7 --ignore-cols 0…
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Explanations are to detailled. This is not necessary.
Introduce Codebooks BEFORE one-vs-one and one-vs-rest.
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I'm trying out a multiclass cleric/sorcerer and I noticed that every time I cast a spell all arcane spells temporarily or permanently disappear. I have to wait a few seconds until they reappear again.…
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Hi there,
Is there any config file for multiclass object detection? why the config files of pointpillar are different in following two repos:
https://github.com/nutonomy/second.pytorch
https://gith…
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Hi,
Is your code for unet support multiclass segmentation?
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Hi,
I've been attempting to use matconvnet in a project I'm working on. The training set consists of 10800 52X52 images, and there are three classes. I am using 25% of the data as a validation set, s…
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### Describe the bug
Hi,
The multi class/multi concepts training is not effective.
When using it, the model learns the last concept and it is not able to generate a good quality output.
W…
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Hey, @Niketkumardheeryan,
Identifying gastrointestinal conditions from medical images is crucial for accurate diagnosis and treatment planning. However, distinguishing between various conditions s…