So I've been using the Cluster Numeric Events Experiment in Splunk and have saved a version of the model using the save button on the upper right. When I head out to the experiments page, I see a Model Name of 'exp' with a large string of alphanumeric characters that follow. When I attempt to apply this model in searches, Splunk tells me it doesn't exist. I also have this model running nightly training.
With previous iterations of this model, I've used the Open in Search option available on the experiment page and have manually created models using the resulting search, replacing '_exp_draft' with something more descriptive. The alphanumeric string values were left intact. Now I can use this model but how does the nightly training on the _exp model affect this model? Also, if I wanted to apply a partial fit, how would I go about doing that, since I don't see a way to tell the experiment to utilize it within it's training schedule.
Answer to question 1: I'm building the model through the MLTK but attempting to use it in a different app. so that might explain that. Now I'm able to use the renamed version of the model I create manually after I set it to Global on the Models page but it sounds like training will not be applied to this renamed model. Is that correct?