问题描述
我正在尝试使用 TARGET_TIME_SERIES 中的销售额、RELATED_TIME_SERIES 中的价格和 ITEM_METADATA 中的产品类型来训练预测 这些是我在 Featurizations 中设置的参数:
{
"AttributeName": "demand","FeaturizationPipeline": [
{
"FeaturizationMethodName": "filling","FeaturizationMethodParameters": {
"aggregation": "sum","backfill": "zero","frontfill": "none","middlefill": "zero"
}
}
]
},{
"AttributeName": "promotional_price","FeaturizationMethodParameters": {
"aggregation": "first","backfill": "median","futurefill": "max","middlefill": "median"
}
}
]
},{
"AttributeName": "original_price","middlefill": "median"
}
}
]
}
]
但它给了我一个错误:
We were unable to train your predictor.
Invalid featurization parameters : {original_price=[frontfill=none,aggregation=first],promotional_price=[frontfill=none,aggregation=first]}.
我不明白。此参数来自文档
解决方法
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