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When estimator is 'catboost', automo.model only print . Entire parameters are not able to obtained. Besides, i check variables in the debugger, automl1.best_config only has two paremeters.
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Python 3.8.5
Examples: Learning to rank from URL https://github.com/microsoft/FLAML generates
AssertionError: # rows in X_train must match length of y_train.
See attached
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`fit()` is stopping early with the following message:
```
[flaml.automl: 06-17 12:55:08] {1013} INFO - iteration 41, current learner lrl1
No low-cost partial config given to the search algorithm.…
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### Discussed in https://github.com/microsoft/FLAML/discussions/152
Originally posted by **hanhanwu** August 6, 2021
I tried multiple dataset but always got error saying, "AttributeError: 'Co…
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Hi! I made a request to include Group K-fold cross validation a few months ago and it worked great then, but now I'm having some trouble with the feature. I'm not sure if it was an API change or if I'…
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Thank you for this great library!
I'm getting the following error when the argument `training_function` passed to `tune.run` returns a value:
```python
.venv\lib\site-packages\flaml\tune\tune.p…
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When I set `ensemble=True`, and my data has categorical features, I get the following error at the end of the FLAML run:
```
[flaml.automl: 07-08 09:40:44] {1141} INFO - at 9373.5s, best ex…
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Python 3.8.5
Examples URL https://github.com/microsoft/FLAML
ModuleNotFoundError: No module named 'prophet'
See attached
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The search space for Catboost is rather limited; it only includes `early_stopping_rounds` and `learning_rate`:
https://github.com/microsoft/FLAML/blob/072e9e458819324f9f9436c3febeb034e80e6f4f/flaml…
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When FLAML is building the ensemble at the end of a run, I am seeing the following error message:
```
[flaml.automl: 07-10 06:16:01] {1153} INFO - at 9912.2s, best xgboost's error=0.1893, …