Timeline for Correlation between continuous variable and a vector of unknown sizes
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 30, 2018 at 7:14 | vote | accept | Bram Vanroy | ||
| Oct 30, 2018 at 7:14 | history | bounty ended | Bram Vanroy | ||
| Oct 29, 2018 at 17:53 | comment | added | Laksan Nathan | Have a look at Feature Engineering in the context of Natural Langugage Processing and Text Analysis. Representing data sometimes comes with a loss of information. In my example words are not (really) considered as part of a sentence. But maybe you can do so by designing features which are suited to your specific problem. | |
| Oct 29, 2018 at 12:27 | comment | added | Bram Vanroy | I'm very confused by this - due to my own ignorance. Currently WTE is a per-word value, indeed. I do not understand, though, how you can viably transform the data as you did. Splitting the data like that, how is that still representative of the data? A WTE of 45 with EC 0 in contrast with WTE 45.3 -> EC 2. Can you give any sources about this kind of data manipulation? I'd like to read up on a motivation for such processing. | |
| Oct 23, 2018 at 21:54 | history | answered | Laksan Nathan | CC BY-SA 4.0 |