sobel(pred=Data$X, med=Data$M, out=Data$Y) #输出结果如下 $`Mod1: Y~X` Estimate Std. Error t value Pr(>|t|) (Intercept) 2.8572046 0.6932130 4.121684 7.875771e-05 pred 0.3961261 0.1111598 3.563574 5.671128e-04 $`Mod2: Y~X+M` Estimate Std. Error t value Pr(>|t|) (Intercept) ...
select EPM Foundation, then select EPM Setup, then select Common Definitions, then select System Objects, then select Built In Function View predefined functions that are delivered with the system.Module Configuration Page Use the Module Configuration page (PF_FN_ENG_PNL) to review configuration op...
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In this first example, we obtain confidence intervals: 複製 ips132lmPred <- rxPredict(ips132lm, data=ips132df, computeStdErrors=TRUE, interval="confidence", writeModelVars = TRUE) The standard errors are by default put into a variable named by concatenating the name of the respons...
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whereIis the indicator function, lenidenotes the length of thei-th sample,Nis the number of samples, prediis the predicted sequence of missing characters of thei-th sample and targetithe corresponding target sequence. We next calculate the average for all lengths: ...
While in the Vowel category, the E sound TQ-M features perform the best and the /e/ vowel is providing superior performance compred to /o/ and /a/. Similarly, for the counting case, the T-S features exhibit the best performance and in the breathing category, the T-M and D-M ...
title("True Rotation = "+ trueRotation + newline +"Pred Rotation = "+ round(predRotation,0)) colormap(ax(1),'gray') ax(2) = subplot(1,2,2); imshow(testDigit) holdonimagesc(rescale(scoreMap)) colormap(ax(2),'jet') title("Grad-CAM") ...
confusionchart(testLabelCarNoise,predTestLabel); Case Study To better understand the performance of the network, examine its performance in classifying overlapping signatures. This section is just for illustration. Due to the non-deterministic behavior of GPU training, you may not get the same classi...
Another example is PredFull82, a full spectrum prediction model that predicts intensities for every m/z bin, rather than predicting specific ion types such as y- and b-ions. Therefore, it may be able to report internal fragment ion intensities, which could provide more rescoring information ...