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Hello, and thanks for this nice package. After using pycaret in python, I found lares quite convenient to finish the low-code auto-ML jobs.
A question about the functionality, Please. Is it possible for lares to compare different models? This is one killer feature of pycaret with the help of compare_models(), which gives the user a summary table. For simple academic use, it also helps demonstrate how different models perform as a fast exploration.
The text was updated successfully, but these errors were encountered:
Given your comparing model request, I have in mind two possible ways to do so:
When running h2o_automl() you'll get a leaderboard will all the generated models and a dataframe that compares the main metric chosen to pick the winner
We have model_metrics() function that will give you a bunch of metrics you can use to compare any model. You'd have to run that for each model you'd like to compare and gather them up in a summary table. Feel free to develop this as a function and we could implement it in lares.
Hello, and thanks for this nice package. After using
pycaret
in python, I foundlares
quite convenient to finish the low-code auto-ML jobs.A question about the functionality, Please. Is it possible for
lares
to compare different models? This is one killer feature ofpycaret
with the help ofcompare_models()
, which gives the user a summary table. For simple academic use, it also helps demonstrate how different models perform as a fast exploration.The text was updated successfully, but these errors were encountered: