def input2d(self, data_path, bound_inf=None, bound_sup=None, sep='\t'):
data = np.array(reader_dhc_rs().generic(data_path, df_sep=sep))
shape = data.shape
num_samples = shape[0]
num_features = shape[1]
if bound_inf is not None and bound_sup is not None:
x_data = data[:, 0:bound_inf].astype(np.float32)
y_data = data[:, bound_sup:num_features].astype(np.float32)
return x_data, y_data, num_samples
elif bound_inf is None and bound_sup is None:
return data, num_samples
def __init__(self,
sequence=None,
window_size=None,
window_aa_ids=None,
kind='memconp',
patch_size=None):
super(irreflexive_dhc_rs, self).__init__(sequence, window_size,
window_aa_ids)
if kind == 'memconp':
self.to_dos = [[4, -4], [4, 4], [3, -4], [-4, 3], [3, 4], [4, 3],
[0, -4], [0, 4], [0, -3], [0, 3], [-1, 0], [1, 0],
[0, 0], [0, -1], [0, 1], [3, 0], [-3, 0], [4, 0],
[-4, 0], [-3, -4], [-4, -3], [-3, 4], [4, -3],
[-4, -4], [-4, 4]]
if kind == 'patch':
self.to_dos = self.patch(length=patch_size)
self.num_to_dos = len(self.to_dos)
self.reader_dhc_rs = reader_dhc_rs()
def __init__(self):
self.pfreader = reader_dhc_rs()
self.idr = irreflexive_dhc_rs(None, 2, [-1, -1])
def __init__(self, RELEASE):
self.RELEASE = RELEASE
self.read = reader_dhc_rs()
def __init__(self):
self.read = reader_dhc_rs()
def __init__(self, ):
self.pfreader = reader_dhc_rs()