def main_comp_csp(df):
return restrict(restrict_or_unset(df,
standardize=False,
standardize_filt_cnt=False,
standardize_epo=False,
standardize_cnt=False),
low_bound=0)
def shallow_main_comp(df):
df = restrict(df,
layers='cnt_shallow_square',
first_nonlin='square',
post_pool_nonlin='safe_log',
pool_mode='average_exc_pad')
df = restrict_or_unset(
df,
drop_p=0.5,
batch_modifier='null',
)
return df
def merged_main_comp(df):
return restrict(df,
batch_norm_before_merge=True,
nonlin_before_merge='elu',
num_filters_spat=25)
def shallow_cnt_main_comp(df):
df = shallow_main_comp(df)
df = restrict(df, loss_expression='tied_neighbours')
return df
def main_comp_csp(df):
return restrict(restrict_or_unset(df, standardize=False, standardize_filt_cnt=False,
standardize_epo=False, standardize_cnt=False),
low_bound=0)
def shallow_main_comp(df):
df = restrict(df, layers='cnt_shallow_square', first_nonlin='square', post_pool_nonlin='safe_log',
pool_mode='average_exc_pad')
df = restrict_or_unset(df, drop_p=0.5, batch_modifier='null',)
return df
def shallow_cnt_main_comp(df):
df = shallow_main_comp(df)
df = restrict(df, loss_expression='tied_neighbours')
return df
def merged_main_comp(df):
return restrict(df, batch_norm_before_merge=True,
nonlin_before_merge='elu',
num_filters_spat=25)
