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hlwt: Weight assigned to the half-life term in the loss function during training.
dlp_dw: Partial derivative of loss function w.r.t. recall probability weights for weight updates during training.
dlh_dw: Partial derivative of loss function w.r.t. half-life term weights for updates during training.
slp: Squared error between predicted and actual recall probabilities, part of loss function.
slh: Squared error between predicted and actual half-life values, part of loss function
I am trying to understand the Python implementation with a view to port it to another language, but can't make sense of some variables.
hlwt
at line 37.dlp_dw
at line 86.dlh_dw
at line 87.slp
at line 124.slh
at line 125.Could someone please explain what the acronyms for the above mean?
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