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* XGBoost
* LogReg
Check their implementation in TalkingData and port to steppy-toolkit
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There are two things that will make the processing of your issue faster:
1. Make sure that you are using the latest version of the code,
1. In case of bug issue, it would be nice to provide more tec…
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The error came from `models.py` line 10:
```
from toolkit.sklearn_transformers.models import SklearnClassifier
```
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* Use new adapter syntax
* run experiment in order to make sure that it works correctly.
* assume that `steppy-toolkit` is pip installable
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cross_entropy function: https://github.com/neptune-ml/steps/blob/dev/steps/pytorch/validation.py#L24 probably should be defined in a slightly different way:
def cross_entropy(output, target, squeez…
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Currently UNet model in its forward() method returns a single tensor, so len(tensor) is batch size. On the other hand we have assertion in: https://github.com/neptune-ml/steps/blob/dev/steps/pytorch/m…