"""
"""
from neurotrends import validate as val
# Validate boolean values
validation = val.validate()
dprimes = {tag: stats["dprime"] for tag, stats in validation.iteritems()}
val.validate_hist(dprimes, "D-Prime")
# Validate continuous values
_, rp_smooth_kernel, nt_smooth_kernel, = val.validate_continuous(
val.rp_extract_smooth_kernel, val.nt_extract_smooth_kernel
)
print "Continuous Validation: Smoothing Kernel"
print val.format_continuous_validation(rp_smooth_kernel, nt_smooth_kernel)
_, rp_highpass_cutoff, nt_highpass_cutoff, = val.validate_continuous(
val.rp_extract_highpass_cutoff, val.nt_extract_highpass_cutoff
)
print "Continuous Validation: High-pass Cutoff"
print val.format_continuous_validation(rp_highpass_cutoff, nt_highpass_cutoff)
data = []
for _, tags in result.iteritems():
data.extend([{
'tag': tag,
'dprime': info['dprime']
} for tag, info in tags.iteritems()])
return pd.DataFrame(data).sort('dprime')
print('{0} articles included in both sets'.format(len(val.pmids)))
print('{0} articles included in both sets, excluding supplements'.format(
len(val.pmids_no_supplement)))
# Validate categorical values
validation = val.validate()
dprimes, groups = to_hist(validation)
frame = to_frame(validation)
val.validate_hist(dprimes,
bins=5,
labels=groups,
title='Supplements included',
xlabel='D-Prime',
outname=file_name(['dprime-supplements'], path='validate'))
frame.to_csv(file_name(['dprime-supplements'], path='validate'), ext='.csv')
print('Categorical Validation: Supplements Included')
print(np.mean(sum(dprimes, [])))
validation = val.validate(no_supplement=True)
dprimes, groups = to_hist(validation)
frame = to_frame(validation)
dprimes.append([
tag['dprime']
for tag in result[group].itervalues()
if tag['dprime'] is not None
])
return dprimes, groups
print('{0} articles included in both sets'.format(
len(val.pmids)
))
print('{0} articles included in both sets, excluding supplements'.format(
len(val.pmids_no_supplement)
))
# Validate boolean values
validation = val.validate()
dprimes, groups = to_hist(validation)
val.validate_hist(
dprimes, labels=groups, title='Supplements included', xlabel='D-Prime',
outname=file_name(['dprime-supplements'], path='validate')
)
print('Categorical Validation: Supplements Included')
print(np.mean(sum(dprimes, [])))
validation = val.validate(no_supplement=True)
dprimes, groups = to_hist(validation)
val.validate_hist(
dprimes, labels=groups, title='Supplements excluded', xlabel='D-Prime',
outname=file_name(['dprime-no-supplements'], path='validate')
)
print('Categorical Validation: Supplements Excluded')