-
**Is your feature request related to a problem? Please describe.**
There is only one visible parameter for the train process now, the `time to train` value.
**Describe the solution you'd like**
N…
-
Compare to performance on random initializations.
-
Traceback (most recent call last):
File "/root/prog/wzp/DeepPurpose/MyWork/test.py", line 51, in
model.train(train, val, max_auc = 0.8, max_auprc = 0.8)
File "/root/prog/wzp/DeepPurpose/De…
-
Version:
```
torch==1.13.0
torch-geometric==2.3.0
torchdrug==0.2.0
```
Code:
```
import torch_geometric
```
Output:
```
----------------------------------------------------------------…
tsa87 updated
4 months ago
-
At the moment, we generate results for 10-fold cross-validation. We should
1. generalise to any k, passed in the command line,
2. run for several iterations, also passed in the command-line, and
…
-
I have been working with the hyperparameters you provided and applied them to my training process. However, after several runs, I am consistently getting an AUPRC of 0.269 for the partial dataset and …
-
Hi Anyone can provide an example for this task: tasks.MultipleBinaryClassification
the setting for task argument is very different to that of task. PropertyPrediction
the document [()](https://torch…
GZ82 updated
9 months ago
-
Hi All,
Thanks for using SINGE (rebranded from SCINGE) in this paper. We read your paper recently, and some of the benchmarking figures are visuall very appealing. We have been updating [SINGE](https…
-
This work is so great,but I have a question.
It is how to preprocess the Cardiology Dataset which exist lots of nan value?
-
## Google spreadsheet with all information: ##
https://docs.google.com/spreadsheets/d/1gfbolLoB1o_oRHjGdV6ht5eTIjFHtTjIivlxsLugvp4/edit?usp=sharing
## Performance matrix of models ## :
Yellow hi…