Ok, that makes sense.  So nothing to worry about.

Cheers,

Edward

On 18 June 2014 17:33, Troels Emtekær Linnet <[email protected]> wrote:
> Yes.
>
> That is because, that I before pre-calculated the "values" with a function
> call.
> The function call is now removed.
>
> So there is a big difference between values and back_calc.
>
> If I remember, all values are set to 2.0, errors 1.0.
> Best
> Troels
>
>
> 2014-06-18 17:29 GMT+02:00 Edward d'Auvergne <[email protected]>:
>>
>> 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):
>> >
>> >
>> > _______________________________________________
>> > relax (http://www.nmr-relax.com)
>> >
>> > This is the relax-commits mailing list
>> > [email protected]
>> >
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>>
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