multi_model

class MultiVectorRegressionModel(*models: sensai.vector_model.VectorRegressionModel)[source]

Bases: sensai.vector_model.RuleBasedVectorRegressionModel

Combines several (previously trained) regression models into a single regression model that produces the combined output of the individual models (concatenating their outputs)

__init__(*models: sensai.vector_model.VectorRegressionModel)

Parameters: predicted_variable_names – These are typically known at init time for rule-based models