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From Xiangrui Meng <men...@gmail.com>
Subject Re: MLlib(Logistic Regression) + Spark Streaming.
Date Mon, 15 Dec 2014 19:50:36 GMT
If you want to train offline and predict online, you can use the
current LR implementation to train a model and then apply
model.predict on the dstream. -Xiangrui

On Sun, Dec 7, 2014 at 6:30 PM, Nasir Khan <nasirkhan.online@gmail.com> wrote:
> I am new to spark.
> Lets say i want to develop a machine learning model. which trained on normal
> method in MLlib. I want to use that model with classifier Logistic
> regression and predict the streaming data coming from a file or socket.
>
>
> Streaming data -> Logistic Regression -> binary label prediction.
>
> Is it possible? since there is no streaming logistic regression algo like
> streaming linear regression.
>
>
>
> --
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>
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