Hi Alexander, That's cool! Thanks for the clarification.
Yanbo 2016-01-05 5:06 GMT+08:00 Ulanov, Alexander <alexander.ula...@hpe.com>: > Hi Yanbo, > > > > As long as two models fit into memory of a single machine, there should be > no problems, so even 16GB machines can handle large models. (master should > have more memory because it runs LBFGS) In my experiments, I’ve trained the > models 12M and 32M parameters without issues. > > > > Best regards, Alexander > > > > *From:* Yanbo Liang [mailto:yblia...@gmail.com] > *Sent:* Sunday, December 27, 2015 2:23 AM > *To:* Joseph Bradley > *Cc:* Eugene Morozov; user; d...@spark.apache.org > *Subject:* Re: SparkML algos limitations question. > > > > Hi Eugene, > > > > AFAIK, the current implementation of MultilayerPerceptronClassifier have > some scalability problems if the model is very huge (such as >10M), > although I think the limitation can cover many use cases already. > > > > Yanbo > > > > 2015-12-16 6:00 GMT+08:00 Joseph Bradley <jos...@databricks.com>: > > Hi Eugene, > > > > The maxDepth parameter exists because the implementation uses Integer node > IDs which correspond to positions in the binary tree. This simplified the > implementation. I'd like to eventually modify it to avoid depending on > tree node IDs, but that is not yet on the roadmap. > > > > There is not an analogous limit for the GLMs you listed, but I'm not very > familiar with the perceptron implementation. > > > > Joseph > > > > On Mon, Dec 14, 2015 at 10:52 AM, Eugene Morozov < > evgeny.a.moro...@gmail.com> wrote: > > Hello! > > > > I'm currently working on POC and try to use Random Forest (classification > and regression). I also have to check SVM and Multiclass perceptron (other > algos are less important at the moment). So far I've discovered that Random > Forest has a limitation of maxDepth for trees and just out of curiosity I > wonder why such a limitation has been introduced? > > > > An actual question is that I'm going to use Spark ML in production next > year and would like to know if there are other limitations like maxDepth in > RF for other algorithms: Logistic Regression, Perceptron, SVM, etc. > > > > Thanks in advance for your time. > > -- > Be well! > Jean Morozov > > > > >
