Timeline for Visualizing items frequently purchased together
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 26, 2016 at 19:40 | comment | added | apnorton | @João_testeSW There are many examples of reading CSV files with Python--they have a really good CSV library for such things. I recommend you follow a more in-depth tutorial than I could provide here. | |
| Oct 15, 2016 at 23:02 | comment | added | João_testeSW | only one doubt: how can apply that code if I have the sequence in a CSV? I've edited below. | |
| Oct 7, 2016 at 15:58 | comment | added | João_testeSW | thanks ;) I'll see if I can use it into Pyspark, if yes then I can edit the post with the solution ;) | |
| Oct 7, 2016 at 15:47 | comment | added | apnorton | @João_testeSW If you save this in a file as "somescript.py", you can run it with "python3 somescript.py" on the terminal. No IDE needed, but if you load it into some Python-capable IDE it should run. | |
| Oct 7, 2016 at 15:44 | comment | added | João_testeSW | did you recommend any IDE for executing this code? | |
| Oct 7, 2016 at 15:38 | vote | accept | João_testeSW | ||
| Oct 7, 2016 at 15:08 | comment | added | apnorton | @João_testeSW You probably can, but I'm unfamiliar with Spark. | |
| Oct 7, 2016 at 8:22 | comment | added | João_testeSW | Many thanks :) Can I create this using Spark Mllib? | |
| Oct 6, 2016 at 23:58 | review | First posts | |||
| Oct 8, 2016 at 8:52 | |||||
| Oct 6, 2016 at 23:54 | history | answered | apnorton | CC BY-SA 3.0 |