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Working with a weekly granularity, is it possible to choose a certain day to start the forecast from instead of using the default which is – “Most recent Monday”? This seems too rigid requirement especially if your business follows a different calendar.
I can pre-process my data to start from Monday but sometimes data- let's consider inventory count gets updated once in a week, let's say on Friday, so starting forecast from Monday with the count from Friday can be misleading .
Issue –
While forecasting I want to use custom calendar day i.e. forecast to start on Saturday and end of Friday instead of Monday to Sunday.
My training data ended on Friday, 23rd, upon training, Amazon Forecast started my prediction from Monday, 26th. Understanding what happened over the weekend(24th-25th) is important especially if some important event happens.
The text was updated successfully, but these errors were encountered:
@apurvagodghase
Amazon Forecast currently only supports Monday as the week boundary, as a limitation. We understand there are cases you want to specify different week boundary, and we will track this requirement.
Working with a weekly granularity, is it possible to choose a certain day to start the forecast from instead of using the default which is – “Most recent Monday”? This seems too rigid requirement especially if your business follows a different calendar.
I can pre-process my data to start from Monday but sometimes data- let's consider inventory count gets updated once in a week, let's say on Friday, so starting forecast from Monday with the count from Friday can be misleading .
Issue –
While forecasting I want to use custom calendar day i.e. forecast to start on Saturday and end of Friday instead of Monday to Sunday.
My training data ended on Friday, 23rd, upon training, Amazon Forecast started my prediction from Monday, 26th. Understanding what happened over the weekend(24th-25th) is important especially if some important event happens.
The text was updated successfully, but these errors were encountered: