Hi,
I am trying to train a LSTM time series classifier in the search window in Splunk, step 4 in Model Development Guide in deep learning toolkit.
It says that the data can be split into a training set and a testing set using the | sample command. To my understanding, the datasets is then constructed by taken events randomly. I do not want datasets that is constructed by taking events randomly. I want the data to be sorted by time and then split with a ratio, how can I do this?
Splunk version: 7.2.4
Deep Learning Toolkit for Splunk Version: 2.3.0
You could take every other (or some number) event using the modulo operator.
| where (_time % 2 = 0)
You could take every other (or some number) event using the modulo operator.
| where (_time % 2 = 0)