[17:35:29] <ToAruShiroiNeko>	 no meeting today?
[17:42:46] <Amir1>	 ToAruShiroiNeko: hey around?
[17:45:15] <ToAruShiroiNeko>	 yes
[17:45:28] <ToAruShiroiNeko>	 meating seems to be stale
[18:18:41] <aetilley>	 Amir1: Heya
[18:18:54] <Amir1>	 hey
[18:19:01] <Amir1>	 merry xmass :)
[18:19:14] <aetilley>	 Thank you!
[18:19:24] <aetilley>	 You too!
[18:19:30] <aetilley>	 Sorry, I can't book that far in advance.
[18:19:30] <aetilley>	 Good luck in your search.
[18:19:32] <aetilley>	 best, 
[18:19:36] <aetilley>	 Oops!
[18:19:42] <aetilley>	 Sorry, damn coppy paste
[18:19:56] <aetilley>	 That was from an Airbnb email I sent
[18:19:57] <aetilley>	 lol
[18:20:14] <aetilley>	 Anyway...
[18:20:51] <aetilley>	 One quick question.  How do you do scaling for Kian?  sklearn.preprocessing?
[18:21:05] <aetilley>	 Do you convert to float first?
[18:21:23] <aetilley>	 Do you pack your data into a np array?
[18:26:29] <aetilley>	 (I guess that was multiple questions.)
[18:27:00] <aetilley>	 Do you scale the last (label) column too?
[18:37:04] <Amir1>	 please ping me :)
[18:37:24] <Amir1>	 sklearn.preprocessing
[18:37:39] <Amir1>	 we should not scale label column
[18:38:00] <aetilley>	 Amir1: ok
[18:38:23] <Amir1>	 I don't convert to float, and sklearn can change when data is not np.array 
[18:42:19] <aetilley>	 Amir1: Got it.  
[18:45:23] <Amir1>	 awesome
[18:45:43] <Amir1>	 please tell me when you see any issue 
[18:50:08] <aetilley>	 Amir1: Will do.
[18:50:22] <Amir1>	 :)