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I want to find more materials of lambdarank and find it not in python examples. I see the 'exe' exmpale about it and find the training data format is libsvm. Can dataframe be suitable to lambdarank?
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Basically **comparing** **GPFlow 2** result on **coregionalisation** with the same kernel has a huge difference compared to **GPFlow 1.5.1**, both on the prediciton and coregionalisation matrix.
The …
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## Environment info
Operating System:
CentOS, kernel 3.10.104
CPU/GPU model:
Xeon(R) CPU E5-2670 v3 @ 2.30GHz
C++/Python/R version:
C++11, GCC 4.8.5
LightGBM version:
02/20/2017 : Up…
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Hello,
im trying to train Action Recognition models on my own Dataset.
Following the Fine-Tuning Tutorial on your Site, but got some Issues.
I´ve got only 2 classes and for each class around 100 …
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Your issue may already be reported!
Please search on the [issue tracker](https://github.com/pytorch/serve/issues) before creating one.
## Context
* torchserve version: 0.2.0 (official docker …
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Let's continue the discussion about the single vs multiple mixed weights_format in a single file (while still allow multiple weights trained differently in the same file).
During the meeting today,…
oeway updated
3 years ago
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Hey there. First, thank you for the great work you have done in this project!
I am wondering whether you have an example for the specific task of detection. I got a little lost trying to arrange th…
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Hello,
I implement the frugally Code, but I see that the prediction are not the same. I thing my types of the images are not right..
Prediction in C++:
```
const auto input1 = fdeep::tensor5…
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Hi,
I am at the point where I can generate the training data (although I am not sure on how to set Nsnvs, Nindels, Nsvs with WES).
I also got most of the callers to work (with the reported excep…
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Implement and train a 1-dimensional convolutional neural network to make the predicitons.