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### Problem statement
Flair doesn't have an Anomaly Detection / One Class Classification model. While this [question](https://github.com/flairNLP/flair/issues/3411) describes alternate solutions, som…
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Hey,
I have a question of understanding. I did a one-class classification and for that trained a model with MMDetection.
In the case of one-class classification I only know the positive samples…
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```
from django.utils.translation import gettext_lazy as _
from django.db import models
class AuditableModel(models.Model):
last_updated_by = models.CharField( max_length=50 )
last_up…
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### Question
Can Flair be used to train a classifier with data from only one class to predict the likelihood that new text belongs to that class? I currently utilize a two class classifier that diff…
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### valor version checks
- [X] I have confirmed this bug exists on the latest version of valor.
### Reproducible Example
```python
from valor_core import classification, schemas, enums
…
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I have collected images for one class I care about. I followed this example on image classification https://github.com/tflearn/tflearn/blob/master/examples/images/convnet_cifar10.py but in this exampl…
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One-class classification models, such as SVM can be used for imbalanced data
Also consider data augmentation - generate similar habitable lanes for training the classifier and Down-sampling of non-ha…
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I may have opted for a provisional title due to the nuanced nature of the issue.
Specifically, I encountered a business quandary where I received one dataset with a specified set of observations, …
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I get below error when i am trying to calculate performance metrics for a multi-class classification model.
ValueError: Target is multiclass but average='binary'. Please choose another average sett…
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**Is your feature request related to a problem? Please describe.**
I am building an image classifieres using transfer learning, it's all ok till we get the problem of binary classification, in our ca…