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Sylvain Chevallier committed Sep 8, 2015
1 parent a172003 commit 83c0fcd
Showing 1 changed file with 3 additions and 3 deletions.
6 changes: 3 additions & 3 deletions example_benchmark_performance.py
Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ def _generate_testbed(kernel_init_len, n_nonzero_coefs, n_kernels,

# Online without mini-batch
print ('Processing ', max_iter, 'iterations in online mode, '
'without multiprocessing')
'without multiprocessing:', end='')
batch_size, n_jobs =n_samples, 1
learned_dict = MiniBatchMultivariateDictLearning(n_kernels=n_kernels,
batch_size=batch_size, n_iter=max_iter,
Expand All @@ -118,7 +118,7 @@ def _generate_testbed(kernel_init_len, n_nonzero_coefs, n_kernels,
n_jobs = -1
for mb in minibatch_range:
print ('\nProcessing ', max_iter, 'iterations in online mode, with ',
'minibatch size', mb, 'and', cpu_count(), 'processes.')
'minibatch size', mb, 'and', cpu_count(), 'processes:', end='')
batch_size = mb
learned_dict = MiniBatchMultivariateDictLearning(n_kernels=n_kernels,
batch_size=batch_size, n_iter=max_iter,
Expand All @@ -136,7 +136,7 @@ def _generate_testbed(kernel_init_len, n_nonzero_coefs, n_kernels,
mp_range = range(1, cpu_count()+1)
for p in mp_range:
print ('\nProcessing ', max_iter, 'iterations in batch mode, with',
p, 'processes.')
p, 'processes:', end='')
n_jobs = p
learned_dict = MultivariateDictLearning(n_kernels=n_kernels,
max_iter=max_iter, verbose=1,
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