def vary_shuffle(argTest=True):
decodeConfig = decode_config.DecodeConfig()
decodeConfig.decode_style = 'valence'
decodeConfig.repeat = 10
decodeConfig.neurons = 40
decodeConfig.average_time = True
hp_ranges = OrderedDict()
hp_ranges['shuffle'] = [False, True]
if argTest:
decodeConfig.repeat = 5
return decodeConfig, hp_ranges
def vary_neuron(argTest=True, neurons=50, style=('valence')):
decodeConfig = decode_config.DecodeConfig()
decodeConfig.shuffle = False
decodeConfig.repeat = 100
decodeConfig.average_time = True
hp_ranges = OrderedDict()
hp_ranges['neurons'] = np.arange(5, neurons, 5)
hp_ranges['decode_style'] = style
hp_ranges['shuffle'] = [False, True]
if argTest:
decodeConfig.repeat = 50
hp_ranges['neurons'] = np.arange(10, neurons, 10)
return decodeConfig, hp_ranges
def vary_decode_style(argTest=True,
style=('identity', 'csp_identity', 'csm_identity',
'valence')):
decodeConfig = decode_config.DecodeConfig()
decodeConfig.repeat = 100
decodeConfig.neurons = 40
decodeConfig.average_time = True
hp_ranges = OrderedDict()
hp_ranges['shuffle'] = [False, True]
hp_ranges['decode_style'] = style
if argTest:
decodeConfig.repeat = 50
return decodeConfig, hp_ranges
def test_across_days(argTest=True,
neurons=40,
style=('identity'),
no_end_time=True):
decodeConfig = decode_config.DecodeConfig()
decodeConfig.repeat = 100
decodeConfig.neurons = neurons
decodeConfig.average_time = True
decodeConfig.no_end_time = no_end_time
hp_ranges = OrderedDict()
hp_ranges['decode_style'] = style
hp_ranges['shuffle'] = [True, False]
if argTest:
decodeConfig.repeat = 50
return decodeConfig, hp_ranges
def test_split(argTest=True,
neurons=40,
style=('csp_identity'),
no_end_time=False,
start_day=[],
end_day=[]):
decodeConfig = decode_config.DecodeConfig()
decodeConfig.repeat = 100
decodeConfig.neurons = neurons
decodeConfig.average_time = True
decodeConfig.no_end_time = no_end_time
decodeConfig.start_day = start_day
decodeConfig.end_day = end_day
decodeConfig.shuffle = False
hp_ranges = OrderedDict()
hp_ranges['decode_style'] = style
hp_ranges['split_style'] = ['onset', 'time', 'magnitude']
if argTest:
decodeConfig.repeat = 50
return decodeConfig, hp_ranges
def test_fp_fn(argTest=True,
neurons=40,
style=('valence'),
no_end_time=False,
start_day=[],
end_day=[],
res_counting=None):
decodeConfig = decode_config.DecodeConfig()
decodeConfig.repeat = 100
decodeConfig.neurons = neurons
decodeConfig.average_time = True
decodeConfig.no_end_time = no_end_time
decodeConfig.start_day = start_day
decodeConfig.end_day = end_day
decodeConfig.res_counting = res_counting
hp_ranges = OrderedDict()
hp_ranges['decode_style'] = style
hp_ranges['shuffle'] = [False, True]
if argTest:
decodeConfig.repeat = 50
return decodeConfig, hp_ranges