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What can we do with this, streamline model training?
https://cloud.google.com/vision/automl/docs/edge-quickstart
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To add model in dffml - https://intel.github.io/dffml/master/tutorials/models/index.html
H2O AutoML - http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html
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- When setting evaluation metrics using methods like `SetBinaryClassificationMetric`, the default value for `labelColumn` parameter is *label*. This is inconsistent with like the `predictColumn` param…
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Top AutoML models show huge disparity between training metrics and test or CV metrics. This is especially the case when one variable is found to have much greater importance when the rest.
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[AutoGluon](https://auto.gluon.ai/stable/tutorials/timeseries/forecasting-quick-start.html) is an AutoML framework that also offers support for time series forecasting. Most if not all traditional mod…
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Using the latest version 0.1.0 from pypi and the example from http://automl.github.io/auto-sklearn/stable/, there is no output at all while it is running apart from
You are already timing task: index…
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Hi,
We opted for automated ML , ran the job and registered the model in dev workspace
Now we want to deploy it in test and prod workspace. We have downloaded the .pkl file, scoring script, conda e…
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Could lightgbm be added to AutoML?
http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/xgboost.html#lightgbm-emulation-mode-options
Thanks!
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- Since `orca.automl` is used for customized model for any area, while most of the metrics in `orca.automl.metrics` is designed and optimized for time series tasks.
- The built-in metrics in `orca.au…
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Please add support for XGBoost for AutoML in Windows environment.