Brian
This is absolutely this problem.
Good to hear it will be fix in 2.3 release
Le 09 févr. 2018 à 02:17, Bryan Cutler écrivait :
> Nicolas, are you referring to printing the model params in that example with
> "print(model1.extractParamMap())"? There was a problem with pyspark models
>
Nicolas, are you referring to printing the model params in that example
with "print(model1.extractParamMap())"? There was a problem with pyspark
models not having params after being fit, which causes this example to show
nothing for model paramMaps. This was fixed in
Hey
I am also interested in how to get those parameters.
For example, the demo code
spark-2.2.1-bin-hadoop2.7/examples/src/main/python/ml/estimator_transformer_param_example.py
return empty parameters when printing "lr.extractParamMap()"
That's weird
Thanks
Le 30 janv. 2018 à 23:10, Bryan
Hi Michelle,
Your original usage of ParamGridBuilder was not quite right, `addGrid`
expects (some parameter, array of values for that parameter). If you want
to do a grid search with different regularization values, you would do the
following:
val paramMaps = new
I tried to use One vs Rest in spark ml with pipeline and crossValidator for
multimultinomial in logistic regression.
It came out with empty coefficients. I figured out it was the setting of
ParamGridBuilder. Can anyone help me understand how does the parameter
setting affect the crossValidator
