-
Hi I am encountering the error of
> 'DataPreprocessor' object has no attribute 'column_transformer'
and can't figure out how to solve it. I tried to go through the regression.py and comment the Da…
-
I ran auto-sklearn and obtained a 3 model ensemble for classifying my data. I would like to know which features were selected for the classification for reporting and better understanding of the proce…
-
auto-sklearn was exactly I was looking for, unfortunately fails even on example from docs:
```python
import sklearn.model_selection
import sklearn.datasets
import sklearn.metrics
import autos…
-
Hi, thanks for the code.
This issue is wrt to the MAML code ( MetaLearning-TF2.0/models/maml/maml.py )
I found an issue with moving mean and variance of batchnorm layers. They are not updated d…
-
experiments so far have demonstrated that REINFORCE policy gradient by itself is not enough to implement metalearning. Based on work in https://arxiv.org/abs/1611.05763, it seems like both a policy an…
-
**System information**
- TensorFlow version (you are using): 1.13
- Are you willing to contribute it (Yes/No): Yes
**Describe the feature and the current behavior/state.**
Right now, get_wei…
-
**Is your feature request related to a problem? Please describe.**
Some metalearning tasks use unsupervised metafeatures (no given y), ex. [metastream](https://dl.acm.org/citation.cfm?id=2564136) whe…
-
Is there a way to disable the Bayesian optimization subroutine when fitting on a new dataset? I am curious about how the performance would be different when there is no such fine-tune. Thanks!
-
## Describe the bug ##
Autosklearn always uses default configuration of data preprocessing pipeline for training or predict. I tried extending rescaling component. The custom scaler was always initia…
rabsr updated
4 years ago
-
I consistently get KeyError exception when running AutoSklearnClassifier on openML dataset 258 (did 258).
The error is similar to Issue #456 , but the difference is that (1) I use all the classifie…