Changeset ed4aef2 in sasview

Timestamp:

May 6, 2014 11:34:46 AM (10 years ago)

Author:

pkienzle

Branches:

master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload

Children:

f121904

Parents:

644ca73

Message:

add panel for bumps results

Location:

src/sans

Files:

• fit/BumpsFitting.py (modified) (5 diffs)
• perspectives/fitting/fitting.py (modified) (5 diffs)
• perspectives/fitting/resultpanel.py (added)

src/sans/fit/BumpsFitting.py

@@ -16 +16 @@
         self.handler = handler
         self.max_step = max_step
+
     def config_history(self, history):
         history.requires(time=1, value=2, point=1, step=1)
+
     def __call__(self, history):
         self.handler.progress(history.step[0], self.max_step)
@@ -23 +25 @@
             self.handler.improvement()
         self.handler.update_fit()
+
+class ConvergenceMonitor(object):
+    """
+    ConvergenceMonitor contains population summary statistics to show progress
+    of the fit.  This is a list [ (best, 0%, 25%, 50%, 75%, 100%) ] or
+    just a list [ (best, ) ] if population size is 1.
+    """
+    def __init__(self):
+        self.convergence = []
+
+    def config_history(self, history):
+        history.requires(value=1, population_values=1)
+
+    def __call__(self, history):
+        best = history.value[0]
+        try:
+            p = history.population_values[0]
+            n,p = len(p), numpy.sort(p)
+            QI,Qmid, = int(0.2*n),int(0.5*n)
+            self.convergence.append((best, p[0],p[QI],p[Qmid],p[-1-QI],p[-1]))
+        except:
+            self.convergence.append((best, ))
 
 class SasProblem(object):
@@ -257 +281 @@
             run_bumps(problem, result, ftol,
                       handler, curr_thread, msg_q)
-        else:
+        else: # scipy levenburg marquardt
             problem = SasProblem(param_list=self.param_list,
                                  model=model.model,
@@ -292 +316 @@
     if 'monitors' not in options:
         options['monitors'] = [BumpsMonitor(handler, max_steps)]
+    options['monitors'] += [ ConvergenceMonitor() ]
     options['ftol'] = ftol
     fitdriver = fitters.FitDriver(fitclass, problem=problem,
@@ -312 +337 @@
     result.success = True
     result.theory = problem.theory
+    # For the convergence plot
+    pop = numpy.asarray(options['monitors'][-1].convergence)
+    result.convergence = 2*pop/problem.dof
+    # Bumps uncertainty state
+    try: result.uncertainty_state = fitdriver.fitter.state
+    except AttributeError: pass
 
 def run_levenburg_marquardt(problem, result, ftol):

src/sans/perspectives/fitting/fitting.py

@@ -36 +36 @@
 from .fitproblem import FitProblemDictionary
 from .fitpanel import FitPanel
+from .resultpanel import ResultPanel, PlotResultEvent
+
 from .fit_thread import FitThread
 from .pagestate import Reader
@@ -221 +223 @@
         self.bumps_options_menu = self.menu1.FindItemById(self.id_bumps_options)
         self.bumps_options_menu.Enable(True)
+
+        self.id_result_panel = wx.NewId()
+        self.menu1.AppendItem(self.id_result_panel, "Fit Results",
+                              "Show fit results panel")
+        wx.EVT_MENU(owner, self.id_result_panel,
+                    lambda ev: self.result_frame.Show(not self.result_frame.IsShown()))
         self.menu1.AppendSeparator()
         
@@ -525 +533 @@
         self.perspective = []
         self.perspective.append(self.fit_panel.window_name)
+
+        self.result_frame = MDIFrame(self.parent, None, ResultPanel.window_caption, (220, 200))
+        self.result_panel = ResultPanel(parent=self.result_frame, manager=self)
+        self.perspective.append(self.result_panel.window_name)
        
         #index number to create random model name
@@ -539 +551 @@
         #Send the fitting panel to guiframe
         self.mypanels.append(self.fit_panel)
+        self.mypanels.append(self.result_panel)
         return self.mypanels
     
@@ -1589 +1602 @@
         wx.PostEvent(self.parent, StatusEvent(status=msg, info="info",
                                                       type="stop"))
+        wx.PostEvent(self.result_panel, PlotResultEvent(result=result))
         # reset fit_engine if changed by simul_fit
         if self._fit_engine != self._gui_engine: