💄 ai: Epoch - improve regression charts #3655
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data-diff: ❌ Found differences= Dataset garden/artificial_intelligence/2024-11-03/epoch_regressions
= Table epoch_regressions
~ Dim days_since_1949
+ + New values: 12 / 880 (1.36%)
system days_since_1949
2.7x/year 22280
2.7x/year 25175
2.6x/year 25219
2.7x/year 27670
6.0x/year 27670
- - Removed values: 6 / 880 (0.68%)
system days_since_1949
2.0x/year 22280
2.4x/year 22280
4.1x/year 22280
2.0x/year 27670
4.1x/year 27670
~ Dim system
+ + New values: 12 / 880 (1.36%)
days_since_1949 system
22280 2.7x/year
25175 2.7x/year
25219 2.6x/year
27670 2.7x/year
27670 6.0x/year
- - Removed values: 6 / 880 (0.68%)
days_since_1949 system
22280 2.0x/year
22280 2.4x/year
22280 4.1x/year
27670 2.0x/year
27670 4.1x/year
~ Column domain (new data)
+ + New values: 12 / 880 (1.36%)
days_since_1949 system domain
22280 2.7x/year NaN
25175 2.7x/year NaN
25219 2.6x/year NaN
27670 2.7x/year NaN
27670 6.0x/year NaN
- - Removed values: 6 / 880 (0.68%)
days_since_1949 system domain
22280 2.0x/year NaN
22280 2.4x/year NaN
22280 4.1x/year NaN
27670 2.0x/year NaN
27670 4.1x/year NaN
~ Column organization_categorization (new data)
+ + New values: 12 / 880 (1.36%)
days_since_1949 system organization_categorization
22280 2.7x/year NaN
25175 2.7x/year NaN
25219 2.6x/year NaN
27670 2.7x/year NaN
27670 6.0x/year NaN
- - Removed values: 6 / 880 (0.68%)
days_since_1949 system organization_categorization
22280 2.0x/year NaN
22280 2.4x/year NaN
22280 4.1x/year NaN
27670 2.0x/year NaN
27670 4.1x/year NaN
~ Column parameters (new data, changed data)
+ + New values: 12 / 880 (1.36%)
days_since_1949 system parameters
22280 2.7x/year <NA>
25175 2.7x/year <NA>
25219 2.6x/year 43045052.0
27670 2.7x/year <NA>
27670 6.0x/year <NA>
- - Removed values: 6 / 880 (0.68%)
days_since_1949 system parameters
22280 2.0x/year 577927.0625
22280 2.4x/year <NA>
22280 4.1x/year <NA>
27670 2.0x/year 15831742464.0
27670 4.1x/year <NA>
~ Column publication_date (new data)
+ + New values: 12 / 880 (1.36%)
days_since_1949 system publication_date
22280 2.7x/year NaT
25175 2.7x/year NaT
25219 2.6x/year NaT
27670 2.7x/year NaT
27670 6.0x/year NaT
- - Removed values: 6 / 880 (0.68%)
days_since_1949 system publication_date
22280 2.0x/year NaT
22280 2.4x/year NaT
22280 4.1x/year NaT
27670 2.0x/year NaT
27670 4.1x/year NaT
~ Column training_computation_petaflop (new data, changed data)
+ + New values: 12 / 880 (1.36%)
days_since_1949 system training_computation_petaflop
22280 2.7x/year 2.688788
25175 2.7x/year 7477.898438
25219 2.6x/year <NA>
27670 2.7x/year <NA>
27670 6.0x/year 1610775936.0
- - Removed values: 6 / 880 (0.68%)
days_since_1949 system training_computation_petaflop
22280 2.0x/year <NA>
22280 2.4x/year <NA>
22280 4.1x/year 0.190074
27670 2.0x/year <NA>
27670 4.1x/year 466952832.0
~ Column training_dataset_size__datapoints (new data, changed data)
+ + New values: 12 / 880 (1.36%)
days_since_1949 system training_dataset_size__datapoints
22280 2.7x/year <NA>
25175 2.7x/year <NA>
25219 2.6x/year <NA>
27670 2.7x/year 120066277376.0
27670 6.0x/year <NA>
- - Removed values: 6 / 880 (0.68%)
days_since_1949 system training_dataset_size__datapoints
22280 2.0x/year <NA>
22280 2.4x/year 124078.632812
22280 4.1x/year <NA>
27670 2.0x/year <NA>
27670 4.1x/year <NA>
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-11-29 12:50:16 UTC |
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