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hello ~ I got a problem as the following
```
[94m[INFO][0m (nea.models) Building a REGRESSION model with POOLING
Traceback (most recent call last):
File "train_nea.py", line 160, in
mode…
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Hi,
I am trying to predict a score (float) using regression and I was wondering what changes need to be made in lines 254 and 258 in [utils.py](https://github.com/ThilinaRajapakse/pytorch-transform…
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Hi @pietronvll,
There seems to be a very bad memory management within the `TrajectoryContextDataset` class.
When I do:
```
train_trajs = np.float32(train_trajs)
val_trajs = np.float32(val_…
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Hi,
I have a classification task for a rating system over 5 classes. I want now to switch to ordinal regression but I am a bit lost regarding the importance weights.
So for the moment, for example…
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I am running tca on a cluster (interactive mode) and got the following error message when try to enable the parallel option for the tcareg function.
tcareg.ptsd.m3.joint
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`def task_importance_weights(label_array):
uniq = torch.unique(label_array)
num_examples = label_array.size(0)
m = torch.zeros(uniq.shape[0])
for i, t in enumerate(torch.arange…
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I am looking at alternative preconditioning strategies for GP regression, I was wondering how easy it would be to fit in custom preconditioners into the GPyTorch framework so I can train GPs in the sa…
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```
import torch
import torch._export
def foo(x):
return x + torch.ones(2, 2)
e = torch._export.export(foo, (torch.ones(2, 2),))
print(e.graph_module.graph)
```
produces:
```
graph()…
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**Example Usage**
For multilabel multiclass classification or multi-target regression settings, can we instantiate an example as such:
```python
InputExample(["sentence1", "sentence2"], label=[ca…
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Hello Yin,
I have your old project before that you have updated it.
I would like to evaluate my model but I find a problem that the accuracy doesn't meet the real accuracy and this due to function …