import os, sys
base_path = os.path.dirname(__file__)
sys.path.append(os.path.abspath(os.path.join(base_path, '..')))
from common.logger import config_logger
import numpy as np
LOG = config_logger(__name__)
# Set of unknown input handlers
def replace_zeros(array, ignore=None):
"""
Replaces all bad inputs with 0
:param array:
:param ignore:
:return:
"""
for i in range(0, len(array[0])):
if i == ignore:
continue
column = array[:, i]
column[column < 0] = 0
return array
def replace_mean(array, ignore=None):
"""
import os, sys
base_path = os.path.dirname(__file__)
sys.path.append(os.path.abspath(os.path.join(base_path, '..')))
import numpy as np
from common.database import get_train_test_data
import pickle
from keras.callbacks import Callback
from common.logger import config_logger
from normalisation import normaliser_from_user
from binning import get_binning_function
LOG = config_logger(__name__)
class History_Log(Callback):
def __init__(self):
super(Callback, self).__init__()
self.last_batch = None
self.epoch_data = None
def on_train_begin(self, logs={}):
pass
def on_epoch_begin(self, epoch, logs={}):
pass
# The associated SNR values for each of these are also extracted.
# Output: i_sfh, i_ir, chi2, redshift
# fmu(SFH), fmu(IR), mu, tauv, sSFR, M*, Ldust, T_W^BC, T_C^ISM, xi_C^tot, xi_PAH^tot, xi_MIR^tot, xi_W^tot, tvism, Mdus, SFR
# fuv, nuv, u, g, r, y, z, Z, Y, J, H, K, WISEW1, WISEW2, WISEW3, WISEW4, PACS100, PACS160, SPIRE250, SPIRE350, SPIRE500
#
import os, sys
base_path = os.path.dirname(__file__)
sys.path.append(os.path.abspath(os.path.join(base_path, '..')))
from common import config
from common.logger import config_logger
import os
LOG = config_logger('__name__')
input_Jy_keys = [
'galaxy_number',
'redshift',
'fuv',
'fuv_snr',
'nuv',
'nuv_snr',
'u',
'u_snr',
'g',
'g_snr',
'r',
'r_snr',
# The associated SNR values for each of these are also extracted.
# Output: i_sfh, i_ir, chi2, redshift
# fmu(SFH), fmu(IR), mu, tauv, sSFR, M*, Ldust, T_W^BC, T_C^ISM, xi_C^tot, xi_PAH^tot, xi_MIR^tot, xi_W^tot, tvism, Mdus, SFR
# fuv, nuv, u, g, r, y, z, Z, Y, J, H, K, WISEW1, WISEW2, WISEW3, WISEW4, PACS100, PACS160, SPIRE250, SPIRE350, SPIRE500
#
import os, sys
base_path = os.path.dirname(__file__)
sys.path.append(os.path.abspath(os.path.join(base_path, '..')))
from common import config
from common.logger import config_logger
import os
LOG = config_logger('__name__')
input_Jy_keys = [
'galaxy_number', 'redshift', 'fuv', 'fuv_snr', 'nuv', 'nuv_snr', 'u',
'u_snr', 'g', 'g_snr', 'r', 'r_snr', 'i', 'i_snr', 'z', 'z_snr', 'Z',
'Z_snr', 'Y', 'Y_snr', 'J', 'J_snr', 'H', 'H_snr', 'K', 'K_snr', 'WISEW1',
'WISEW1_snr', 'WISEW2', 'WISEW2_snr', 'WISEW3', 'WISEW3_snr', 'WISEW4',
'WISEW4_snr', 'PACS100', 'PACS100_snr', 'PACS160', 'PACS160_snr',
'SPIRE250', 'SPIRE250_snr', 'SPIRE350', 'SPIRE350_snr', 'SPIRE500',
'SPIRE500_snr'
]
class NaNValue(Exception):
"""
Exception fired when a NaN value is found in a fit file
