Required. The key is a name of one of the Dataset's data columns.
The value of the key (either the label's value or value in the column)
must be one of {training, validation, test}, and it defines to which
set the given piece of data is assigned. If for a piece of data the key
is not present or has an invalid value, that piece is ignored by the
pipeline.
Required. The key is a name of one of the Dataset's data columns.
The value of the key (either the label's value or value in the column)
must be one of {training, validation, test}, and it defines to which
set the given piece of data is assigned. If for a piece of data the key
is not present or has an invalid value, that piece is ignored by the
pipeline.
Required. The key is a name of one of the Dataset's data columns.
The value of the key (either the label's value or value in the column)
must be one of {training, validation, test}, and it defines to which
set the given piece of data is assigned. If for a piece of data the key
is not present or has an invalid value, that piece is ignored by the
pipeline.
Required. The key is a name of one of the Dataset's data columns.
The value of the key (either the label's value or value in the column)
must be one of {training, validation, test}, and it defines to which
set the given piece of data is assigned. If for a piece of data the key
is not present or has an invalid value, that piece is ignored by the
pipeline.
Required. The key is a name of one of the Dataset's data columns.
The value of the key (either the label's value or value in the column)
must be one of {training, validation, test}, and it defines to which
set the given piece of data is assigned. If for a piece of data the key
is not present or has an invalid value, that piece is ignored by the
pipeline.