int32. Other parts are
float64. Any ideas?
Okay, thank you.
Another question: My dataset is dynamically generated from a database. All online tutorials I saw focus on pulling in an existing dataset (e.g. MNIST) or from CSV files on disk. Neither seems like a good fit for my case. Should I be "streaming" data from the database to the model for training somehow? Or am I expected to construct a fixed-sized tensor and populate it column by column based on the database resultset?
jpypeto pass a Java
Streamover to the python API but then I have no way to convert it to a dataset.
-Pdevflag and it'll pull down the latest snapshot of the native code.