Loading peak_integration.py +6 −3 Original line number Diff line number Diff line Loading @@ -1179,10 +1179,10 @@ class Histogram(object): self.dloss_dfit = 1 - fit_data/self.fit dloss_dbkgr = [2*params[0]*self.dloss_dfit.sum()] #,0,0,0] dloss_dpeak = gaussian_peak.gradient(params[nbkgr:], fit_points, dloss_dfit=self.dloss_dfit) self.dloss_dbkgr = np.array([2*params[0]*self.dloss_dfit.sum()]) #,0,0,0] self.dloss_dpeak = gaussian_peak.gradient(params[nbkgr:], fit_points, dloss_dfit=self.dloss_dfit) return np.concatenate((dloss_dbkgr,dloss_dpeak)) return np.concatenate((self.dloss_dbkgr,self.dloss_dpeak)) def hessian(self, params, *args, **kwargs): self.hess_calls += 1 Loading @@ -1198,6 +1198,9 @@ class Histogram(object): d2loss = np.zeros((len(params),len(params))) d2loss[:nbkgr,:nbkgr] = d2loss_dbkgr2 d2loss[nbkgr:,nbkgr:] = d2loss_dpeak2 d2loss[:nbkgr,nbkgr:] = 2*params[0] * (d2loss_dfit2.reshape((-1,1)) * gaussian_peak.dg).sum(axis=0) d2loss[nbkgr:,:nbkgr] = d2loss[:nbkgr,nbkgr:].T return d2loss # @MemoizeJacHess Loading Loading
peak_integration.py +6 −3 Original line number Diff line number Diff line Loading @@ -1179,10 +1179,10 @@ class Histogram(object): self.dloss_dfit = 1 - fit_data/self.fit dloss_dbkgr = [2*params[0]*self.dloss_dfit.sum()] #,0,0,0] dloss_dpeak = gaussian_peak.gradient(params[nbkgr:], fit_points, dloss_dfit=self.dloss_dfit) self.dloss_dbkgr = np.array([2*params[0]*self.dloss_dfit.sum()]) #,0,0,0] self.dloss_dpeak = gaussian_peak.gradient(params[nbkgr:], fit_points, dloss_dfit=self.dloss_dfit) return np.concatenate((dloss_dbkgr,dloss_dpeak)) return np.concatenate((self.dloss_dbkgr,self.dloss_dpeak)) def hessian(self, params, *args, **kwargs): self.hess_calls += 1 Loading @@ -1198,6 +1198,9 @@ class Histogram(object): d2loss = np.zeros((len(params),len(params))) d2loss[:nbkgr,:nbkgr] = d2loss_dbkgr2 d2loss[nbkgr:,nbkgr:] = d2loss_dpeak2 d2loss[:nbkgr,nbkgr:] = 2*params[0] * (d2loss_dfit2.reshape((-1,1)) * gaussian_peak.dg).sum(axis=0) d2loss[nbkgr:,:nbkgr] = d2loss[:nbkgr,nbkgr:].T return d2loss # @MemoizeJacHess Loading