I was looking at the ML API's and had a few questions:
How do I execute ML jobs on a specific schedule, for example once daily?
Is the flow to execute a ML job using the API's as follows: create a job, open the job, add the data feed, start the data feed? An example would really help.
How do I specify seasonality (meaning whether the data feed has seasonal data or not and whether it is weekly or monthly)?
Which specific unsupervised ML models are used under the hood?
If the ML job is running in "real-time" (on going in the background) - then the settings of the job's bucket_span and the datafeed's setting of frequency will define the "schedule".
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