Read the equation
Subtracting the two supplied losses yields 0.20026636123657227 loss units. This is an absolute difference, not a percentage. The claim that it is the largest drop depends on the inspected record and its logging interval.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| drop | Difference between the two logged evaluation losses |
How it works
Read the definition from its right-hand expression to the quantity on the left. Its surrounding source records the intended input, state, or parameter context. Where the source leaves an operation unspecified, this page preserves that gap.
Assumptions & limits
Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.
Original context
Read the surrounding source passage
Evaluation loss, step 300 Appendix B. Reproduction commands and file map With the package extracted and its listed Python dependencies available: python code/analyze_logs.pypython -m unittest discover -s code -p 'test_*.py' -v
Exact original notation
2.7906932830810547-2.5904269218444824=0.20026636123657227
Related builds
Sources & provenance
2.7906932830810547-2.5904269218444824=0.20026636123657227
2.7906932830810547-2.5904269218444824=0.20026636123657227