Updated version number

Slight performance improvement for sceua example

setup.py

@@ -5,7 +5,7 @@
 
 setup(
   name = 'spotpy',
-  version = '1.5.10',
+  version = '1.5.11',
   description = 'A Statistical Parameter Optimization Tool',
   long_description=open(os.path.join(os.path.dirname(__file__),
                                        "README.rst")).read(),

spotpy/__init__.py

@@ -40,4 +40,4 @@
 from . import describe            # Contains some helper functions to describe samplers and set-ups
 from .hydrology import signatures # Quantifies goodness of fit between simulation and evaluation data with hydrological signatures
 
-__version__ = '1.5.10'
+__version__ = '1.5.11'

spotpy/examples/tutorial_sceua_hymod.py

@@ -21,18 +21,18 @@
     # Initialize the Hymod example
     # In this case, we tell the setup which algorithm we want to use, so
     # we can use this exmaple for different algorithms
-    spot_setup=spot_setup(users_objective_function=spotpy.objectivefunctions.rmse)
+    spot_setup=spot_setup(spotpy.objectivefunctions.rmse)
 
     #Select number of maximum allowed repetitions
-    rep=500
+    rep=1000
     filename = 'SCEUA_hymod'
     # Create the SCE-UA sampler of spotpy, alt_objfun is set to None to force SPOTPY
     # to jump into the def objectivefunction in the spot_setup class (default is
     # spotpy.objectivefunctions.rmse) 
     sampler=spotpy.algorithms.sceua(spot_setup, dbname='SCEUA_hymod', dbformat='csv')
 
     #Start the sampler, one can specify ngs, kstop, peps and pcento id desired
-    sampler.sample(rep)#,ngs=10, kstop=50, peps=0.1, pcento=0.1) 
+    sampler.sample(rep, ngs=7, kstop=3, peps=0.1, pcento=0.1) 
 
     # Load the results gained with the sceua sampler, stored in SCEUA_hymod.csv
     results = spotpy.analyser.load_csv_results('SCEUA_hymod')