Hi Troels,

You have a chi-squared printout in all of your profiling scripts, but
do you know why that value is so high in all scripts?

Regards,

Edward



On 18 June 2014 17:27,  <[email protected]> wrote:
> Author: tlinnet
> Date: Wed Jun 18 17:27:54 2014
> New Revision: 24110
>
> URL: http://svn.gna.org/viewcvs/relax?rev=24110&view=rev
> Log:
> Modified profiling script for MP05.
>
> Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion 
> models for Clustered analysis.
>
> Modified:
>     
> branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_mp05.py
>
> Modified: 
> branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_mp05.py
> URL: 
> http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_mp05.py?rev=24110&r1=24109&r2=24110&view=diff
> ==============================================================================
> --- 
> branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_mp05.py
>       (original)
> +++ 
> branches/disp_spin_speed/test_suite/shared_data/dispersion/profiling/profiling_mp05.py
>       Wed Jun 18 17:27:54 2014
> @@ -63,7 +63,7 @@
>  def main():
>      if True:
>          # Nr of iterations.
> -        nr_iter = 1000
> +        nr_iter = 10
>
>          # Print statistics.
>          verbose = True
> @@ -523,11 +523,11 @@
>          """
>
>          # Return chi2 value.
> -        chi2 = self.model.func_DPL94(params)
> +        chi2 = self.model.func_MP05(params)
>          return chi2
>
>
> -def single(num_spins=1, model=MODEL_DPL94, iter=None):
> +def single(num_spins=1, model=MODEL_MP05, iter=None):
>      """Calculate for a single spin.
>
>      @keyword num_spins:     Number of spins in the cluster.
> @@ -541,7 +541,7 @@
>      """
>
>      # Instantiate class
> -    C1 = Profile(num_spins=num_spins, model=model, r2=5.0, phi_ex=1.0, 
> kex=5000.0, spins_params=['r2', 'phi_ex', 'kex'])
> +    C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=1.0, pA=0.9, 
> kex=5000.0, spins_params=['r2', 'dw', 'pA', 'kex'])
>
>      # Loop 100 times for each spin in the clustered analysis (to make the 
> timing numbers equivalent).
>      for spin_index in xrange(100):
> @@ -551,7 +551,7 @@
>      print("chi2 single:", chi2)
>
>
> -def cluster(num_spins=100, model=MODEL_DPL94, iter=None):
> +def cluster(num_spins=100, model=MODEL_MP05, iter=None):
>      """Calculate for a number of clustered spins.
>
>      @keyword num_spins:     Number of spins in the cluster.
> @@ -565,7 +565,7 @@
>      """
>
>      # Instantiate class
> -    C1 = Profile(num_spins=num_spins, model=model, r2=5.0, phi_ex=1.0, 
> kex=5000.0, spins_params=['r2', 'phi_ex', 'kex'])
> +    C1 = Profile(num_spins=num_spins, model=model, r2=5.0, dw=1.0, pA=0.9, 
> kex=5000.0, spins_params=['r2', 'dw', 'pA', 'kex'])
>
>      # Repeat the function call, to simulate minimisation.
>      for i in xrange(iter):
>
>
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