The flux characteristic is not only the foundation of calculating electromagnetic torque and radial levitation force, but also the premise of realizing of the stability rotation and reliable suspension of motor. According to the modeling of the flux linkage model for 12/14 hybrid stator-pole bearingless switched reluctance motor (HSBSRM) by using the conventional analytic method,a novel modeling method based on least squares support vector machine ( LS-SVM) within the Bayesian evidence framework was proposed．Based on the analysis of the coupling relationship between torque windings’ flux curves and suspending windings’ flux curves, the coupling relationship between suspending windings’ flux curves , the relationship between torque windings’ flux curves and radial displacement, the relationship between suspending windings’ flux curves and rotor position are analyzed by finite element method (FEM). the flux linkage model of the HSBSRM based on LS-SVM within the Bayesian evidence framework was established. Simulation results show that this model has high accurate precision, and rapid calculation speed．