MultilayerPerceptronClassifier

[Mina Aslani <as...@gmail.com>]

Hi,
I have couple of questions regarding using MultilayerPerceptronClassifier
in pyspark.
- Do we have any other options for solver other than solver='l-bfgs'?
- Also, tried to tune using cross validation and find the best model based
on the defined parameters. (e.g. maxIter, layers, tol, seed). When I get
the best model and try to see the different parameters using getSeed()/
getTol()/getMaxIter(), etc, I get below error:

'MultilayerPerceptronClassificationModel' object has no attribute
'getSeed'/'getTol'/'getMaxIter'.


The only attribute for the best model that I can get is the layers.


Any idea?


Best regards,

Mina