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can you please put some description. I have tried it in a white background, but predictions are not right. How can I improve the predictions?
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Which function or which file in the project, predicts the accuracy for each class?
Besides, what is the output of the detect function in **python** folder?
Coz even if I commented out the **print r*…
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https://github.com/tensorflow/tpu/tree/master/models/experimental/resnet_bfloat16
The link above says "To run the same code on CPU/GPU, set the flag --use_tpu=False" but after training on the TPU, …
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when you make a prediction, # of outputs matches the number of classes from train / validation.
Question.. are the order of the predictions the same alphabetical order of the train/validation direc…
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I've set my panels config, latitude and longitud correctly but prediction is not correct, api.met.no returns 4.5 kWh, darksky.net returns 11 kWh and real one is more than 20 kWh, I've checked the cod…
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When I used it for classification, my prediction is all nan values.
```
model = ffm.FFM(eta=0.1, lam=0.0001, k=4)
model.init_model(ffm_train_data)
for i in range(n_iter):
print('iteration %d,…
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Hello @imoscovitz,
I am running into problems when making predictions as I am getting wrong predictions.
See the following simple example. All predictions should be True according to the rule but on…
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# Task Name
Next Note prediction in music
## Task Objective
Given a piece of music audio, the model needs to predict what the next note at the end of the music will be.
## Datasets
Datase…
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hello,Can the polygenic risk score be calculated using the pleiotropy loci found by PLEIO? In addition, MTAG requires that the correlation between multiple traits is more than 0.7. I think it is menti…