Great.
I like your second solution. But how can I make sure that cvModel holds
the best model overall (as opposed to the last one that was tired out
but the grid search)?
In addition, do you have an idea how to collect the average error of
each grid search (here 1x1x1)?
On 12/08/2016
You will need to cast bestModel to include the MLWritable trait. The class
Model does not mix it in by default. For instance:
cvModel.bestModel.asInstanceOf[MLWritable].save("/my/path")
Alternatively, you could save the CV model directly, which takes care of
this
cvModel.save("/my/path")
On
Hi,
Assuming that I have run the following pipeline and have got the best logistic
regression model. How can I then save that model for later use? The following
command throws an error:
cvModel.bestModel.save("/my/path")
Also, is it possible to get the error (a collection of) for each
