I am trying to predict a field after training and testing a model. I believe since I've created a Data Analytics Job to do this, I will be needing inference.
A similar project has been issued in this following article.
https://www.elastic.co/blog/train-evaluate-monitor-infer-end-to-end-machine-learning-in-elastic
I followed the exact steps from the article and now I have a trained and tested model that i would like to ingest a csv file with a list of domains that I would like to have a predicted label given to (as a result from the learning the machine has done from the model)
I am stuck at the step under "Deploying our supervised model to enrich data at ingest time"
(I believe this is written into the Kibana DevTools console)
In the example given it is mentioned:
POST main_preds/_doc?pipeline=malware-classification
{
the author included the file details they wanted to label
}
Instead of the file details, I would like it to use an index pattern I already have with unlabeled names so that I label them according to the predictions done by the machine from the trained and tested model I have.
I would really appreciate your help with this. I am a beginner in Kibana and I will be very grateful if you could help me with this.
Best regards