Hi,
What is the clearest way to go about using datasets in PyTorch if the dataset is in csv format and appears in the following form:
cell_id,2020-01-07,2020-01-14,2020-01-21,2020-01-28,2020-02-04,2020-02-11,2020-02-18,2020-02-25,2020-03-03,2020-03-10,2020-03-17,2020-03-24,2020-03-31,2020-04-07,2020-04-14,2020-04-21,2020-04-28,2020-05-05,2020-05-12,2020-05-19,2020-05-26,2020-06-02,2020-06-09,2020-06-16,2020-06-23,2020-06-30,2020-12-01,2020-12-08,2020-12-15,2020-12-22,2020-12-29,2021-01-05,2021-01-12,2021-01-19,2021-01-26,2021-02-02,2021-02-09,2021-02-16,2021-02-23,2021-03-02,2021-03-09,2021-03-16,2021-03-23,2021-03-30,2021-04-06,2021-04-13,2021-04-20,2021-04-27,2021-05-04,2021-05-11,2021-05-18,2021-05-25,2021-06-01,2021-06-08,2021-06-15,2021-06-22,2021-06-29
000863e7-21e6-477d-b799-f5675c348627,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
“region”: “other” }, “geometry”: { “type”: “Polygon”, “coordinates”: [ [ [ -119.401672788750602, 37.024004907174238 ], [ -119.401672788750602, 37.031176567834088 ], [ -119.410655941591799, 37.031176567834088 ], [ -119.410655941591799, 37.024004907174238 ], [ -119.401672788750602, 37.024004907174238 ] ] ] } },
{ “type”: “Feature”, “properties”: { “cell_id”: “000ba8d9-d6d5-48da-84a2-1fa54951fae1”,