Research Article

Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots

Table 6

Model parameter descriptions of the RRM.

ParametersDescription

AlphaIt indicates the regularization strength; it is the complexity parameter of the control coefficient shrinkage; a large value of α corresponds to a large shrinkage; thus, the coefficient is robust to collinearity
fit_interceptIt indicates whether to calculate the intercept of this model
max_iterIt is the maximum number of iterations of the conjugate gradient solver
SolverIt is the solution method for calculation