Re: Writing custom Transformers and Estimators like Tokenizer in spark ML

2016-07-28 Thread Phuong LE-HONG
Hi, I've developed a simple ML estimator (in Java) that implements conditional Markov model for sequence labelling in Vitk toolkit. You can check it out here: https://github.com/phuonglh/vn.vitk/blob/master/src/main/java/vn/vitk/tag/CMM.java Phuong Le-Hong On Fri, Jul 29, 2016 at 9:01 AM

Re: Multinomial regression with spark.ml version of LogisticRegression

2016-05-28 Thread Phuong LE-HONG
GD in either scenario. > > If I have misunderstood your response please do clarify. > > thanks stephenb > > 2016-05-28 20:55 GMT-07:00 Phuong LE-HONG <phuon...@gmail.com>: >> >> Dear Stephen, >> >> The Logistic Regression currently supports only binar

Re: Multinomial regression with spark.ml version of LogisticRegression

2016-05-28 Thread Phuong LE-HONG
Dear Stephen, The Logistic Regression currently supports only binary regression. However, the LogisticGradient does support computing gradient and loss for a multinomial logistic regression. That is, you can train a multinomial logistic regression model with LogisticGradient and a class to solve