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If you don't specify a filling logic then by default Amazon Forecast will fill any missing values with zeros. To change this default behavior you need to perform missing value filling, by specifying the types of filling to implement when you call the CreatePredictor
operation. Filling logic is specified in FeaturizationMethod
objects using JSON like the example below:
[ { "AttributeName": "target_value", "FeaturizationPipeline": [ { "FeaturizationMethodName": "filling", "FeaturizationMethodParameters": { "aggregation": "sum", "middlefill": "zero", "backfill": "nan" } } ] }, { "AttributeName": "price", "FeaturizationPipeline": [ { "FeaturizationMethodName": "filling", "FeaturizationMethodParameters": { "middlefill": "median", "backfill": "value", "backfill_value": "2", "futurefill": "max" } } ] } ]
Your target time series data supports the following filling methods:
- "zero" - 0 filling.
- "value" - an integer or float number.
- "nan" - not a number.
- "mean" - the mean value from the data series.
- "median" - the median value from the data series.
- "min" - the minimum value from the data series.
- "max" - the maximum value from the data series.
You can also reference the documentation here for more information - https://docs.aws.amazon.com/forecast/latest/dg/howitworks-missing-values.html
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