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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::PredefinedSplit.
Assigns input data to training, validation, and test sets based on the value of a provided key.
Supported only for tabular Datasets.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#key
def key() -> ::String
Returns
-
(::String) — 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.
#key=
def key=(value) -> ::String
Parameter
-
value (::String) — 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.
Returns
-
(::String) — 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.