capability__multioutput#
- capability__multioutput()[source]#
Capability: the estimator can handle multi-output time series.
String name:
"capability:multioutput"
Public capability tag
Values: boolean,
True
/False
Example:
True
Default:
False
This tag applies to classifiers and regressors.
If the tag is
True
, the estimator can handle multivariate target time series, i.e., time series with multiple variables in the target argumenty
.If the tag is
False
, the estimator can only handle univariate targets natively, and will broadcast to variables (ordinary transformers), or raise an error (others).This condition is specific to target data (e.g., classifier or regressor
y
), primary input data (X
) is not considered.The capability for primary input data is controlled by the tag
capability:multivariate
.The condition is also specific to the data type used, in terms of how being “multivariate” is represented. For instance, a
pandas
based time series specification is considered multivariate if it has more than one column.