text: Experiment(description='Trying latest code on extrapolation task',
             data_dir='../data/tsdlr_9010/',
             max_depth=10, 
             random_order=False,
             k=1,
             debug=False, 
             local_computation=False, 
             n_rand=9,
             sd=2, 
             jitter_sd=0.1,
             max_jobs=500, 
             verbose=False,
             make_predictions=True,
             skip_complete=True,
             results_dir='../results/2013-12-16-extrap-GPSS-full/',
             iters=250,
             base_kernels='SE,Per,Lin,Const,Noise',
             random_seed=1,
             period_heuristic=3,
             period_heuristic_type='min',
             subset=True,
             subset_size=250,
             full_iters=10,
             bundle_size=5,
             additive_form=False,
             mean='ff.MeanZero()',      # Starting mean
             kernel='ff.NoiseKernel()', # Starting kernel
             lik='ff.LikGauss(sf=-np.Inf)', # Starting likelihood 
             score='bic',
             search_operators=[('A', ('+', 'A', 'B'), {'A': 'kernel', 'B': 'base'}),
                               ('A', ('*', 'A', 'B'), {'A': 'kernel', 'B': 'base-not-const'}),
                               ('A', ('*-const', 'A', 'B'), {'A': 'kernel', 'B': 'base-not-const'}),
                               ('A', 'B', {'A': 'kernel', 'B': 'base'}),
                               ('A', ('CP', 'd', 'A'), {'A': 'kernel', 'd' : 'dimension'}),
                               ('A', ('CW', 'd', 'A'), {'A': 'kernel', 'd' : 'dimension'}),
                               ('A', ('B', 'd', 'A'), {'A': 'kernel', 'd' : 'dimension'}),
                               ('A', ('BL', 'd', 'A'), {'A': 'kernel', 'd' : 'dimension'}),
                               ('A', ('None',), {'A': 'kernel'})])
  
  