I'm trying to train a prediction with my sales in TARGET_TIME_SERIES, the prices in RELATED_TIME_SERIES, and the product type in ITEM_METADATA These are the parameters I set in Featurizations:
{
"AttributeName": "demand",
"FeaturizationPipeline": [
{
"FeaturizationMethodName": "filling",
"FeaturizationMethodParameters": {
"aggregation": "sum",
"backfill": "zero",
"frontfill": "none",
"middlefill": "zero"
}
}
]
},
{
"AttributeName": "promotional_price",
"FeaturizationPipeline": [
{
"FeaturizationMethodName": "filling",
"FeaturizationMethodParameters": {
"aggregation": "first",
"backfill": "median",
"frontfill": "none",
"futurefill": "max",
"middlefill": "median"
}
}
]
},
{
"AttributeName": "original_price",
"FeaturizationPipeline": [
{
"FeaturizationMethodName": "filling",
"FeaturizationMethodParameters": {
"aggregation": "first",
"backfill": "median",
"frontfill": "none",
"futurefill": "max",
"middlefill": "median"
}
}
]
}
]
But it gives me an error:
We were unable to train your predictor.
Invalid featurization parameters : {original_price=[frontfill=none, aggregation=first], promotional_price=[frontfill=none, aggregation=first]}.
I don't understand. This parameters are from documentation
Just find that it works if I remove parameters "aggregation" and "futurefill"