It is an ensemble methods use multiple models to obtain better predictive result than could be obtained from any of the constituent model alone.
It can be achieved by:
- Develop n models and train them with same train dataset.
- Evaluate n trained models with test dataset.
- Average n evaluated values with formula:
y_pred = (y_pred_1 + y_pred_2 + y_pred_3 + y_pred_n ) / n
y_pred_n is predected value of nth model on test dataset.
It can be achieved by:
- Develop n models and train them with same train dataset.
- Evaluate n trained models with test dataset.
- Average n evaluated values with formula:
y_pred = (y_pred_1 + y_pred_2 + y_pred_3 + y_pred_n ) / n
y_pred_n is predected value of nth model on test dataset.
3 Comments
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ReplyDeleteHello!
ReplyDeleteHow can I continuously upload the files in my sd card/spiffs to the external server as they come in? Also, how can I upload multiple files with the same extension (i.e. jpg) at once? http://www.iotsharing.com/2018/01/esp32-multipart-upload-file-and-download-via-http.html
Thanks!
Hi friend,
ReplyDeleteYou have to modify the library since it only support one upload session.