def __init__(self,
parent=None,
requireSave=True,
style=WEIGHTS_DEFAULT_STYLE):
remapEvtsToDispatcher(self, self.evtDispatch)
xrcDIALOGWEIGHTS.__init__(self, parent)
self.ContiguityPage = self.ContiguityPanel,\
self.weightsNotebook.GetPageText(0)
self.DistancePage = self.DistancePanel,\
self.weightsNotebook.GetPageText(1)
self.KernelPage = self.KernelPanel, self.weightsNotebook.GetPageText(2)
self.CutoffText.Bind(wx.EVT_CHAR, self.isdigit)
openID = wx.NewId()
aTable = wx.AcceleratorTable([(wx.ACCEL_CMD, ord("O"), openID)])
self.SetAcceleratorTable(aTable)
self.Bind(wx.EVT_MENU, self.OnButton_OpenShape, id=openID)
self.requireSave = requireSave
self.orig_style = style
self.hidden_frame = wx.Frame(self)
self.model = weightsModel()
self.model.addListener(self.update)
self.DdistMethodChoice.SetItems(DISTANCE_METRICS)
self.KdistMethodChoice.SetItems(DISTANCE_METRICS)
self.dispatch = d = {}
d['OpenShape'] = self.input
d['InputShapeChoice'] = self.input
d['inShp'] = self.input
d['inShps'] = self.input
d['IdvarChoice'] = self.idVar
d['idVar'] = self.idVar
d['addIDVar'] = self.idVar
d['CreateButton'] = self.run
d['ThresholdSlider'] = self.threshold
d['ThresholdSlider2'] = self.threshold2
d['CutoffText'] = self.threshold
d['CutoffText2'] = self.threshold2
d['OnClose'] = self.closeEvt
d['CloseButton'] = self.closeEvt
d['DdistMethodChoice'] = self.distMeth
d['KdistMethodChoice'] = self.distMeth
d['distMethod'] = self.distMeth
self._W = None
self.update_style(style)
self.update()
def __init__(self, parent=None, requireSave=True,
style=WEIGHTS_DEFAULT_STYLE):
remapEvtsToDispatcher(self, self.evtDispatch)
xrcDIALOGWEIGHTS.__init__(self, parent)
self.ContiguityPage = self.ContiguityPanel,\
self.weightsNotebook.GetPageText(0)
self.DistancePage = self.DistancePanel,\
self.weightsNotebook.GetPageText(1)
self.KernelPage = self.KernelPanel, self.weightsNotebook.GetPageText(2)
self.CutoffText.Bind(wx.EVT_CHAR, self.isdigit)
openID = wx.NewId()
aTable = wx.AcceleratorTable([(wx.ACCEL_CMD, ord("O"), openID)])
self.SetAcceleratorTable(aTable)
self.Bind(wx.EVT_MENU, self.OnButton_OpenShape, id=openID)
self.requireSave = requireSave
self.orig_style = style
self.hidden_frame = wx.Frame(self)
self.model = weightsModel()
self.model.addListener(self.update)
self.DdistMethodChoice.SetItems(DISTANCE_METRICS)
self.KdistMethodChoice.SetItems(DISTANCE_METRICS)
self.dispatch = d = {}
d['OpenShape'] = self.input
d['InputShapeChoice'] = self.input
d['inShp'] = self.input
d['inShps'] = self.input
d['IdvarChoice'] = self.idVar
d['idVar'] = self.idVar
d['addIDVar'] = self.idVar
d['CreateButton'] = self.run
d['ThresholdSlider'] = self.threshold
d['ThresholdSlider2'] = self.threshold2
d['CutoffText'] = self.threshold
d['CutoffText2'] = self.threshold2
d['OnClose'] = self.closeEvt
d['CloseButton'] = self.closeEvt
d['DdistMethodChoice'] = self.distMeth
d['KdistMethodChoice'] = self.distMeth
d['distMethod'] = self.distMeth
self._W = None
self.update_style(style)
self.update()
def __init__(self, parent=None):
self.__mod = False
remapEvtsToDispatcher(self, self.evtDispatch)
preferences_xrc.xrcgsPrefsDialog.__init__(self, parent)
self.CompInverse.SetItems(list(INV_METHODS))
self.MLMethod.SetItems(list(ML_METHODS))
#self.numcores.SetItems(map(str, CPU_OPTIONS))
self.SetEscapeId(self.cancelButton.GetId())
self.SetAffirmativeId(self.saveButton.GetId())
for widget in tips:
try:
getattr(self, widget).SetToolTipString(tips[widget])
getattr(self, widget + 'Label').SetToolTipString(tips[widget])
except:
print "could not set tool tip for %s" % widget
self.dispatch = d = {}
d['saveButton'] = self.save
d['restoreButton'] = self.restore
d['cancelButton'] = self.cancel
d['sig2n_k_ols'] = self.sig2n_k_ols
d['OLSNk'] = self.sig2n_k_ols
d['OLSN'] = self.sig2n_k_ols
d['sig2n_k_2sls'] = self.sig2n_k_2sls
d['twoSLSNk'] = self.sig2n_k_2sls
d['twoSLSN'] = self.sig2n_k_2sls
d['sig2n_k_gmlag'] = self.sig2n_k_gm
d['GMlagNk'] = self.sig2n_k_gm
d['GMlagN'] = self.sig2n_k_gm
d['gmm_max_iter'] = self.gmm_max_iter
d['MaxIterations'] = self.gmm_max_iter
d['StoppingCriterion'] = self.gmm_epsilon
d['gmm_epsilon'] = self.gmm_epsilon
d['inferenceOnLambda'] = self.gmm_inferenceOnLambda
d['gmm_inferenceOnLambda'] = self.gmm_inferenceOnLambda
d['gmm_inv_method'] = self.gmm_inv_method
d['CompInverse'] = self.gmm_inv_method
d['gmm_step1c'] = self.gmm_step1c
d['Step1c'] = self.gmm_step1c
d['NumSpatialLags'] = self.instruments_w_lags
d['instruments_w_lags'] = self.instruments_w_lags
d['IncludeLagsofUserInst'] = self.instruments_lag_q
d['instruments_lag_q'] = self.instruments_lag_q
d['output_vm_summary'] = self.output_vm_summary
d['ShowVarCovarMatrix'] = self.output_vm_summary
d['output_save_pred_residuals'] = self.output_save_pred_residuals
d['saveValuesResiduals'] = self.output_save_pred_residuals
d['showDetailedModelSpec'] = self.output_show_detailed_spec
d['output_show_detailed_spec'] = self.output_show_detailed_spec
d['other_ols_diagnostics'] = self.other_ols_diagnostics
d['OLSdiagnostics'] = self.other_ols_diagnostics
d['white_test'] = self.white_test
d['WhiteTest'] = self.white_test
d['other_numcores'] = self.other_numcores
d['numcores'] = self.other_numcores
d['other_residualMoran'] = self.other_residualMoran
d['residualMoran'] = self.other_residualMoran
d['missingValueCheck'] = self.other_missingValueCheck
d['other_missingValueCheck'] = self.other_missingValueCheck
d['missingValue'] = self.other_missingValue
d['other_missingValue'] = self.other_missingValue
d['regimes_regime_error'] = self.regimes_regime_error
d['RegimeError'] = self.regimes_regime_error
d['regimes_regime_lag'] = self.regimes_regime_lag
d['RegimeLag'] = self.regimes_regime_lag
d['ml_diagnostics'] = self.ml_diagnostics
d['MLdiagnostics'] = self.ml_diagnostics
d['ml_epsilon'] = self.ml_epsilon
d['MLToleranceCriterion'] = self.ml_epsilon
d['ml_method'] = self.ml_method
d['MLMethod'] = self.ml_method
self.model = preferencesModel()
self.reset_model()
self.modified = False
self.model.addListener(self.update)
self.update()
def __init__(self, parent=None):
self.__mod = False
remapEvtsToDispatcher(self, self.evtDispatch)
preferences_xrc.xrcgsPrefsDialog.__init__(self, parent)
self.CompInverse.SetItems(list(INV_METHODS))
self.MLMethod.SetItems(list(ML_METHODS))
#self.numcores.SetItems(map(str, CPU_OPTIONS))
self.SetEscapeId(self.cancelButton.GetId())
self.SetAffirmativeId(self.saveButton.GetId())
for widget in tips:
try:
getattr(self, widget).SetToolTipString(tips[widget])
getattr(self, widget + 'Label').SetToolTipString(tips[widget])
except:
print "could not set tool tip for %s" % widget
self.dispatch = d = {}
d['saveButton'] = self.save
d['restoreButton'] = self.restore
d['cancelButton'] = self.cancel
d['sig2n_k_ols'] = self.sig2n_k_ols
d['OLSNk'] = self.sig2n_k_ols
d['OLSN'] = self.sig2n_k_ols
d['sig2n_k_2sls'] = self.sig2n_k_2sls
d['twoSLSNk'] = self.sig2n_k_2sls
d['twoSLSN'] = self.sig2n_k_2sls
d['sig2n_k_gmlag'] = self.sig2n_k_gm
d['GMlagNk'] = self.sig2n_k_gm
d['GMlagN'] = self.sig2n_k_gm
d['gmm_max_iter'] = self.gmm_max_iter
d['MaxIterations'] = self.gmm_max_iter
d['StoppingCriterion'] = self.gmm_epsilon
d['gmm_epsilon'] = self.gmm_epsilon
d['inferenceOnLambda'] = self.gmm_inferenceOnLambda
d['gmm_inferenceOnLambda'] = self.gmm_inferenceOnLambda
d['gmm_inv_method'] = self.gmm_inv_method
d['CompInverse'] = self.gmm_inv_method
d['gmm_step1c'] = self.gmm_step1c
d['Step1c'] = self.gmm_step1c
d['NumSpatialLags'] = self.instruments_w_lags
d['instruments_w_lags'] = self.instruments_w_lags
d['IncludeLagsofUserInst'] = self.instruments_lag_q
d['instruments_lag_q'] = self.instruments_lag_q
d['output_vm_summary'] = self.output_vm_summary
d['ShowVarCovarMatrix'] = self.output_vm_summary
d['output_save_pred_residuals'] = self.output_save_pred_residuals
d['saveValuesResiduals'] = self.output_save_pred_residuals
d['showDetailedModelSpec'] = self.output_show_detailed_spec
d['output_show_detailed_spec'] = self.output_show_detailed_spec
d['other_ols_diagnostics'] = self.other_ols_diagnostics
d['OLSdiagnostics'] = self.other_ols_diagnostics
d['white_test'] = self.white_test
d['WhiteTest'] = self.white_test
d['other_numcores'] = self.other_numcores
d['numcores'] = self.other_numcores
d['other_residualMoran'] = self.other_residualMoran
d['residualMoran'] = self.other_residualMoran
d['missingValueCheck'] = self.other_missingValueCheck
d['other_missingValueCheck'] = self.other_missingValueCheck
d['missingValue'] = self.other_missingValue
d['other_missingValue'] = self.other_missingValue
d['regimes_regime_error'] = self.regimes_regime_error
d['RegimeError'] = self.regimes_regime_error
d['regimes_regime_lag'] = self.regimes_regime_lag
d['RegimeLag'] = self.regimes_regime_lag
d['ml_diagnostics'] = self.ml_diagnostics
d['MLdiagnostics'] = self.ml_diagnostics
d['ml_epsilon'] = self.ml_epsilon
d['MLToleranceCriterion'] = self.ml_epsilon
d['ml_method'] = self.ml_method
d['MLMethod'] = self.ml_method
self.model = preferencesModel()
self.reset_model()
self.modified = False
self.model.addListener(self.update)
self.update()
