I am using AutoML and want to split my data to train/validation and test using a dt column (one date for train one different date for validation and a third date for test. The problem that the autoML fails, there are only training metrics (no valiation nor test ones) and when I check the data exploratory notebook it seems that all samples are considered as training eventhough the corresponding dt are different. When I look to model artifacts, I see that the column dt were taken into consideration as feature by the model
