Presently only the mllib version has the one-vs-all approach for multinomial support. The ml version with ElasticNet support only allows binary regression.
With feature parity of ml vs mllib having been stated as an objective for 2.0.0 - is there a projected availability of the multinomial regression in the ml package? `
