-
This question is in the context of testing how a framework-specific feature performs in the benchmark.
For example, in autosklearn it would be useful to compare what is the effect of turning on a n…
-
After you open-sourced haiku, rlax recently, I started to learn about JAX and I love these projects.
However, whenever I share these open sources to deep learning communities and my friends, they don…
-
1. Many classifiers doesn't have the function `set_params` (such as `DecisionTree`, `LibLinear_SVC`, `LibSVM_SVC`, `RandomForest`) so it raises many exceptions: `AttributeError: 'DecisionTree' object …
-
Hi,
(1)
I am trying to reduce the required samples per epoch to make the epoch going faster. It seems that garage has a default TotalEnvSteps (to let each worker finish 128 periods?). I thought I …
-
If i get it correctly, with track_higher_grad = off using it to train should be exactly the same as not using it (automatic differentiation-wise), only that imperative update on tensor is replaced wit…
-
1.) Is there metalearning for XGboost algorithm?
2.) Why does it give predict_proba of nan using XGboost sometimes causing assertion error of "prediction probability does not sum up to 1!"?
```
…
-
Hello!
The following code
automl = autosklearn.regression.AutoSklearnRegressor(
tmp_folder='./tmp/autosklearn_regression_example_tmp',
output_folder='./tmp/autosklearn_regression_example…
-
This was the script that resulted in an unusually low R2 -- the expected result was higher than multiple regression (.55) instead of R2 of .12. The question is whether this indicates a poor use case f…
-
really like this feature. shouldnt it be possible to next to create a community driven db of ranges to also apply ml on general shape of the datasets (summary stats / topological data analysis) to pre…
-
I am using the latest version of autosklearn and running it on a high performance cluster.
Here is my code:
```
automl = autosklearn.classification.AutoSklearnClassifier(ensemble_size=1,
…