You are viewing a plain text version of this content. The canonical link for it is here.

Posted to user-zh@flink.apache.org by 刘勋 <li...@163.com> on 2023/06/06 08:21:12 UTC

How can i update OnlineLogisticRegression Model continuously

Hi All,Im trying OnlineLogisticRegressionExample of flink-ml.How can i update OnlineLogisticRegression Model continuously?

Re:Re: How can i update OnlineLogisticRegression Model continuously

Posted by 刘勋 <li...@163.com>.

感谢姜老师回复，请问如何使用OnlineLogiticRegression生成连续模型表，有样例程序吗
At 2023-06-10 19:18:37, "姜鑫" <ji...@gmail.com> wrote:
>Hi Xun,
>
>The OnlineLogisticRegression model data is represented as Flink Tables. A Flink table can be unbounded and contains continuous model data, so the way to update model is just insert new model data into the Table. Actually, OnlineLogisticRegression can fit models continuously from unbounded input data, so it is recommended to use OnlineLogisticRegression to generate a Table of continuous models. The OnlineLogisticRegressionExample is an example of using OnlineLogisticRegression on bounded input data.

Re: How can i update OnlineLogisticRegression Model continuously

Posted by 姜鑫 <ji...@gmail.com>.

Hi Xun,

The OnlineLogisticRegression model data is represented as Flink Tables. A Flink table can be unbounded and contains continuous model data, so the way to update model is just insert new model data into the Table. Actually, OnlineLogisticRegression can fit models continuously from unbounded input data, so it is recommended to use OnlineLogisticRegression to generate a Table of continuous models. The OnlineLogisticRegressionExample is an example of using OnlineLogisticRegression on bounded input data.