TypeError: float() argument must be a string or a number, not 'map'

[ZhenhuiTang]

Traceback (most recent call last):
File "/home/machinelearning/anaconda3/envs/graphsage-simple-master/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/machinelearning/anaconda3/envs/graphsage-simple-master/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/machinelearning/Documents/graphsage-simple-master/graphsage/model.py", line 183, in
run_cora()
File "/home/machinelearning/Documents/graphsage-simple-master/graphsage/model.py", line 69, in run_cora
feat_data, labels, adj_lists = load_cora()
File "/home/machinelearning/Documents/graphsage-simple-master/graphsage/model.py", line 49, in load_cora
feat_data[i, :] = map(float(), info[1:-1])
TypeError: float() argument must be a string or a number, not 'map'

[Andy1314Chen]

In python3:

feat_data[i, :] = list(map(float(), info[1:-1]))

[yeyingdege]

In python3:

feat_data[i, :] = list(map(float(), info[1:-1]))

Use feat_data[i, :] = list(map(float, info[1:-1]))