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Imbalanced dataset is relevant primarily in the context of supervised machine lea…
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First of all, thank you so much for the valuable contribution to the community,
I followed your instructions and successfully train the network with 51M_deeplab_all.json config, everything was fin…
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How can I obtain the cross validation scores that were obtained during the call to `fit()`?
E.g.:
```python
from supervised.automl import AutoML # mljar-supervised
automl_se…
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Let's use one of these models:
- https://huggingface.co/anferico/bert-for-patents
- https://github.com/ec-jrc/Patents4IPPC
Let's generate a small test dataset.
Goal: supervised classification …
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Hi there,
I try to run the example of supervised classification, but no training files to complete it.
Can you share those files to see how their content is organized?
Thanks in advance, JL
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## 🐛 Bug
```
Phase=train
CNN_AE_supervised(
(encoder): CNN_encoder(
(conv1): Conv2d(1, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
(conv2): Conv2d(16, 16, kernel_size=(3, …
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This is with reference to the PR #6727 and is discussed in the comments in #5774.
#### Description
The current implementation of `LabelPropagation`, in `semi_supervised` module, creates [direc…
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Is it correct for me to understand this way?
You are implementing kmeans on stm32, through kmeans, the data received by the sensor is divided into several categories and labeled, and after a certain …
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Second layer of discriminator() is defined with
relu2 = tf.maximum(alpha * x2, x2)
and is therefore not using batch normalization
relu2 should use 'bn2' not 'x2':
relu2 = tf.maximum(alpha * bn2, bn2)…
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## 0. 論文
[StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing](https://arxiv.org/abs/1806.07832v1)
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
## 1.…