Installation

pip install rusvm

Example

importrusvmimportnumpyasnpimportmatplotlib.pyplotasplt# generate sample datasetn=20np.random.seed(42)x=np.random.rand(n)y=np.sin(2.0*np.pi*x)# define parameters for training problem# regularization parameterlmbda=1.0# scaling parametergamma=10.0# solve training problemres=rusvm.solve_smo(x=np.sqrt(gamma)*x[:,None],y=y,params_problem=dict(lmbda=lmbda,kind='regression',    ),params_smo=dict(time_limit=1.0,    ))print(res['opt_status'])a=np.array(res['a'])/lmbdaa=a[:n]+a[n:]# generate reference pointsxplot=np.linspace(0.0,1.0,100)# evaluate decision function at reference pointsk=np.exp(-gamma* (xplot[:,None]-x[None, :])**2)yplot=k.dot(a)+res['b']# plot training points and decision functionplt.plot(x,y,'kx')plt.plot(xplot,yplot,'r')

Build

maturin develop --release