This approach greatly simplifies our gain matrix calculation (Eq. (3)). For simplicity, we assume a fixed uncertainty of 40% for coefficients corresponding to a priori CO2 fluxes over each sub-region, and a larger uncertainty (60%) for the corresponding CH4 emissions. We also assume that a...
SHAP interaction values are a generalization of SHAP values to higher order interactions. Fast exact computation of pairwise interactions are implemented for tree models withshap.TreeExplainer(model).shap_interaction_values(X). This returns a matrix for every prediction, where the main effects are on...
I left sulfates out because you usually don't find them laying around on their own except in mines. They exist as deep subsurface veins of ore deposits, but on the surface, gypsum and pyrite and the like typically present as individual crystals in a matrix of feldspars or grossular quartz...
which was conducted in the R package adegenet (v. 2.1.5)52. Secondly, individual ancestry coefficients were estimated with sparse non-negative matrix factorization (sNMF) implemented on the R package LEA (v. 3.6.0)53, where
the application of the normative model yielded a 990 × 400z-score deviation matrix,Z. Next, we used 10-fold cross-validation to also generate deviations in the training subset. The 281 individuals in the training subset were split into 10 folds, wherein 90% of the subset were used ...
“emission matrix”). In the next time bin, the ensemble may either dwell in the current pattern or transition to a different pattern, with probabilities given by rows of the “transition matrix.” Stochastic transitions between patterns occur at random times according to an underlyingMarkov chain...
Panel B. Pearson's pairwise correlation matrix Empty CellReturnSTVBetaSizeMomRevIlliqLt_revVolIvolMaxMinPTVVolumeStdVolumeSkew1Skew2IskewCoskew STV −0.08 Beta 0.00 −0.03 Size −0.02 0.00 −0.04 Mom 0.00 0.19 −0.01 0.06 Rev −0.26 0.18 0.00 0.05 −0.23 Illiq 0.01 −0.01...
SHAP interaction values are a generalization of SHAP values to higher order interactions. Fast exact computation of pairwise interactions are implemented for tree models withshap.TreeExplainer(model).shap_interaction_values(X). This returns a matrix for every prediction, where the main effects are on...