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Hi!
I wanted to check in about the weights in the bag prior. It seems they are 0.961 for the MLP and 0.038 for the GP. Does that seem right? That's what I got after MCMC'ing out the double sampling.
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Hi @yzhao062,
Thanks for creating such a wonderful library for experimentation and we're also using it for our use case.
We're unable to create a pipeline / AutoML pipeline for time series-base…
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Scenario Value Prediction
Data with a categorical column2predict (values -1,0,1)
Evaluate gives prediction -0.01 !?!?
![image](https://github.com/dotnet/machinelearning-modelbuilder/assets/744…
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Running make docs leads to a weird sphinx error I've never seen which is basically saying it can't even give an error. I suspect it is coming from automl-sphinx-theme but I'm not certain.
@renesass…
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Let's add an `id_column` to all our algorithms, grid and AutoML functions. Right now, if you have pooled-repeated measures data (one ID/person/cluster contributes multiple rows to the training set), …
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It's a really helpful feature that Flow can auto-refresh the Leaderboard or AutoML. It's be really useful to allow this on all the refresh buttons. Examples where I manually refresh all the time are…
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Hi,
i noticed that performances for XGBoost-related models via AutoML are really bad for a dataset that I have, composed of ~15M rows, and 126 predictors.
I noticed that in the logs:
05-09 15:…
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As AutoML was designed as Py/R first, a few default values are currently set only on client side: this forces devs to ensure that all clients have the same default value, creating overhead and potenti…
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In AutoML, `sorting_metric` and `stopping_metric` are currently exposed as a string with values "unfortunately" slightly different from the metrics defined in `ScoreKeeper.StoppingMetric`.
On its sid…
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User guide currently says this for `stopping_metric` : "AUTO: This defaults to logloss for classification and deviance for regression."
This is TRUE iff sort_metric is not set, but if sort_metric i…