def read_output(self, settings):
# Code to write for collecting the output files from the algorithm, writes to the
# output list in the object
# What we want to do here is get the prediction rate on the last time
# point and the network so we can compare it against a gold std.
output_file = self.output_dir + "/output/" + "/nir_output.txt"
net = Network()
net.read_netmatrix_file(output_file, self.gene_list)
self.network = net
def read_output(self,settings):
# Code to write for collecting the output files from the algorithm, writes to the
# output list in the object
# What we want to do here is get the prediction rate on the last time
# point and the network so we can compare it against a gold std.
# This file is a bunch of zscores, so we have to load the cutoff we want
output_file = self.output_dir + "/output/inferelator_output.csv"
net = Network()
net.read_netmatrix_file(output_file, self.gene_list)
self.network = net
return self.network
