Anomaly Training error

[SandeepaDevin]

I've created a csv file from active wiretap pcap and trying to use it on this code.

My input data has seven fields and look like this

Reading Sample dataset...
[[0.0 0 '192.168.2.13' '192.168.100.5' '51010' '56514' 209]
[0.000773 0 '192.168.2.13' '192.168.100.5' '51010' '56514' 1514]
[0.000905 0 '192.168.2.13' '192.168.100.5' '51010' '56514' 1514]
[0.001122 0 '192.168.2.13' '192.168.100.5' '51010' '56514' 1514]
[0.001247 0 '192.168.2.13' '192.168.100.5' '51010' '56514' 1514]]

Fields =[ 'Time', 'IP_Version', 'IP_Source', 'IP_Dest', 'Source_PORT', 'Dest_PORT', 'payload' ]

But when I run the code here in kitnet it gives me the error

TypeError: ufunc 'add' output (typecode 'O') could not be coerced to provided output parameter (typecode 'd') according to the casting rule ''same_kind''

But all data in each column has same type and time represent in float while ip version and payload are integers as used in original kitsune. Would like to know what causes this ?