mljar-api-python
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A simple python wrapper over MLJAR API.
Bumps [numpy](https://github.com/numpy/numpy) from 1.14.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Hello. When I call `fit` from the mljar python API, it fails with the following status on each of the experiments: `Status details: Error : Unknown label type: continuous` Edit:...
predict on `Mljar(...)` instance that was fit in a previous python session does not allow `predict`
In a previous python session, I ran `model = Mljar(...)` and `model.fit(...)` and it was fine. Upon closing the python session and opening a new one, doing `model = Mljar(...)`...
Here is what I'm doing ``` >>> model.fit(train_features, train_target.squeeze()) Ups, Something bad happend! There is no attributes usage defined for your dataset ``` When I look in mljar.com, I see...