Timeline for How do Data Scientists integrate Predictive Modeling with SQL?
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| Apr 16, 2019 at 13:27 | comment | added | mincorp | If the data changes in your database and your model always gets the latest data, then yes you will be able to do it automatically. If you want a static model then you just specify for example a date range and this will be your training data set no matter how many times you run the model. The point is that you can choose which one you want and implement it effectively with these libraries avoiding the pains of using static csvs. | |
| Apr 16, 2019 at 13:21 | comment | added | Nicklovn | This is what I was thinking. Do you automatically update the training data and retrain models? I.e., perhaps one static model and one constantly retrained model? | |
| Apr 16, 2019 at 13:15 | review | First posts | |||
| Apr 16, 2019 at 13:25 | |||||
| Apr 16, 2019 at 13:13 | history | answered | mincorp | CC BY-SA 4.0 |