fixed package
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@ -6,18 +6,8 @@
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\usepackage[final]{pdfpages}
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\setbeameroption{show notes on second screen=right}
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% g \in G is explanation as a model
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% f is the model we're trying to explain
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% does, being model agnostic, means we do not care about specifics of f.
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% We use Locally Weighted Square Loss as L, where I suspect pi is the weight and we thus estimate the difference between the actual model
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% and our explanation, and multiply this with the proximity of the data point z, to x.
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% Spørg lige Lasse hvorfor min(L(f,g,pi_x(z)) + omega(g)) bliver intractable, når omega(g) er en konstant!
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\usepackage{dirtytalk}
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\usepackage{bbm}
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\usepackage{setspace}
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\usepackage[T1]{fontenc}
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\usepackage[sfdefault,scaled=.85]{FiraSans}
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