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This is already supported in FLAML. See here: https://microsoft.github.io/FLAML/docs/Examples/AutoML-for-LightGBM
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I am using AutoML to do a classification task, but I need more estimators other than given in [documentation](https://microsoft.github.io/FLAML/docs/Use-Cases/Task-Oriented-AutoML/#estimator-and-searc…
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Happens on H2O 3.22.0.1 and later:
{code}
git checkout jenkins-3.22.0.1
./gradlew clean build -x test
cd h2o-r/tests
../../scripts/run.py --wipeall --client --numnodes 2 --jvm.xmx 4g --test run…
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/kind feature
In the AutoML and Training summit on 2021-07-16 we had couple of request to support [ASHA](https://arxiv.org/pdf/1810.05934.pdf) in Katib.
This item is also in our ROADMAP 2021.
Let…
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Hi,
Since **SVM** algorithm is available since recently in H2O, would it be possible to include it as another available algorithm in **AutoML**?.
Thanks,
Carlos.
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The idea is to add a new layer of "optimiser"s between `AutoMLTask` and `MLTask` called `MLOptTask`. There will be three classes of optimiser: `MLRandomOptTask`, `MLGridOptTask` and `MLGPOptTask`. One…
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Details in discussion https://github.com/mljar/mljar-supervised/discussions/421
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sometimes the test on the mac is stucked, and the rerun is successful.
Running orca auto estimator tests
~~~
../test/zoo/orca/automl/xgboost/test_auto_xgb.py::TestAutoXGBRegressor::test_data_crea…