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Can we use multiple fit at a time to create one model in splunk machine learning tool kit

nasrinmulani
New Member

Hi All,

I am working on predicting the end time and i want to add the average load factor as independent variable for prediction.

I am thinking to predict average load separately based on minute basis, at this minute of the day load was this, hence i can predict the average load of tomorrow based on historical data.

So can i use multiple fit here, for prediction, like predicting the load and then start time?

0 Karma
1 Solution

aoliner_splunk
Splunk Employee
Splunk Employee

If you're asking whether the output of one model (load_model that produces 'predicted(load)') could be used as a predictor of another model (end_model that produces 'predicted(end)'), then yes, you can!

[your load data] | fit load from ... into load_model

[your end data] | apply load_model | fit end from "predicted(load)" ... into end_model

[your new data] | apply load_model | apply end_model

Note that "your end data" must include the fields used by load_model (minus load), and "your new data" must include both those fields and the fields used by end_model (minus end).

View solution in original post

0 Karma

aoliner_splunk
Splunk Employee
Splunk Employee

If you're asking whether the output of one model (load_model that produces 'predicted(load)') could be used as a predictor of another model (end_model that produces 'predicted(end)'), then yes, you can!

[your load data] | fit load from ... into load_model

[your end data] | apply load_model | fit end from "predicted(load)" ... into end_model

[your new data] | apply load_model | apply end_model

Note that "your end data" must include the fields used by load_model (minus load), and "your new data" must include both those fields and the fields used by end_model (minus end).

0 Karma
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