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When I try to run https://github.com/brando90/higher/blob/master/examples/maml-omniglot.py i get this error:
```
args.scheduler=None
--------------------- META-TRAIN ------------------------
Sta…
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I tried a simple dataset to play around with this, and I am running into
```
ValueError: The least populated class in y has only 1 member, which is too few. The minimum number of groups for any cla…
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Hi all,
Yesterday (12/04/2023) azureml-pipeline package for python has been updated. Running the forecast through the pipeline, the package will be updated and the pipeline won't work anymore givin…
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We are using Databricks AutoML for a regression problem. The job runs for around 5 minutes and then fails with the error :
ERROR databricks.automl.base_learner: AutoML run with experiment id: 126421…
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Now that #1597 is merged, we should compute training / threshold tuning data splits in the `AutoMLSearch` constructor.
This is tech debt, but also I think it'll make it more clear to users what data …
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Our synchronous training pipeline is currently spawning multiple instances of training rather than the expected 1 model per hour.
The problem appears to be the code to decide whether to train a mod…
jlewi updated
3 years ago
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You can use https://github.com/h2oai/h2o-tutorials/blob/master/h2o-world-2017/automl/Python/automl_binary_classification_product_backorders.ipynb for a test script.
Run the first example of automl …
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We have a benchmark where we run lots of long jobs with default settings. It has now failed 3 times on a dataset called pc_krkopt. It looks like this
```AutoML progress: |████████████████████████████…
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We have default DRF & XRT but I think we are missing default models for the rest of the algos (GBM, DL) in the AutoML run. Instead of adding an additional DNN, we will replace the one that's there w…
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Once we have the ability to turn on balance_classes and do target encoding in Java, we can start doing these things automatically in AutoML.
Ideally, we'd do something smart with balance_classes …