from typing import Optional, Union
from sklearn import linear_model
from .gaussian_node import GaussianNode
from .schema import GaussianParams, HybcprobParams
NodeInfo = Union[GaussianParams, HybcprobParams]
[docs]
class CompositeContinuousNode(GaussianNode):
def __init__(self, name, regressor: Optional[object] = None):
super(CompositeContinuousNode, self).__init__(name)
if regressor is None:
regressor = linear_model.LinearRegression()
self.regressor = regressor
self.type = "CompositeContinuous" + f" ({type(self.regressor).__name__})"