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Not sure if I'm being daft here but I think this line is incorrect:
https://github.com/pytorch/torcheval/blob/e0444c6f7cf89e20b5bd17b16dea4e3793810ba9/torcheval/metrics/functional/classification/co…
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Hi! Thank you so much for this work. I have a dataset which consists of 7 classes. I want to use your code to classify my data.
How can I make datasets labeling?
For an example, you preprocess t…
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Hi: what would be the license for your code?
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Is it possible to support aggregation of ordinal labels as a part of this toolkit via this reduction algorithm.
- Labels are categorical but have an ordering defined 1 < ... < K.
- The K class o…
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I just put the problem_ Type="binary" becomes "multiclass"
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* Beginning pipeline search *
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Optimizing for Log Loss Multiclass. …
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Description
Unable to upload pipeline models (in folders) when running AI verify with the dev setup scri…
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This issue was found in R with binary classification, but should also be checked in Python too:
{code:r}library(h2o)
h2o.init()
train
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# cant fit model with AutoMLRegression
```
from autosklearn.regression import AutoSklearnRegressor
reg = AutoSklearnRegressor(time_left_for_this_task=5*60, per_run_time_limit=30, n_jobs=8)
reg…
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Hello,
I am working on a course project using 4 channels of EEG signals and 256 as sampling rate for BCI application of binary image classification. My training dataset size is 100*4*256 and my label…
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Hi sosata,
I was unable to find a contact mail id for you. Did not know best way to reach you, so create an issue.Very bad way to do things I guess.
Very good discussion below:
https://github.…