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I wonder how to use other datasets for training Thanks!
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Hello,
I am currently working on a project where I want to fit a model on probabilities and save it to PMML for later use in Java program.
I am training a LightGBMRegressor with the `cross_entro…
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Finally, I trained own datasets and save .meta files.
Now I loaded the trained files and trying to inference on test datasets, but cannot find and load a last logits tensor.
The expected a shape …
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https://mlr.mlr-org.com/articles/tutorial/measures.html
### binary classification
MLR | MLJBase | Comment
---- | --- | ---
acc | `accuracy` | ✔️
auc | `auc` | ✔️
bac | `bac, bacc, balanc…
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Hi!
In the paper, dataset is split into two parts, training slides and testing slides. In the code, testing dataset is evaluated after every epoch of training. It seems that testing dataset is used a…
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Hi,
I am trying to compile caffe in my Ubuntu 16.04 machine with cudnn7
Following below guide:
https://github.com/BVLC/caffe/wiki/Ubuntu-16.04-Installation-Guide
i am unable to understand an…
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Here are some examples where the Stacked Ensemble is not winning the leaderboard in AutoML. We should investigate what’s happening here and see if we can improve the results by adjusting the metalear…
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enzet updated
7 years ago
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In [EPro-PnP-Det_v2](https://github.com/tjiiv-cprg/EPro-PnP-v2/tree/main/EPro-PnP-Det_v2) if we want to improve the classification performance, could theoretically a new type of loss be introduced wit…
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Questions:
1. model.predict() includes argument k, what does it configure?
2. model.predict() returns values 'speech' & 'skip', what do they mean?
3. model.predict() returns 'positive', 'negative',…