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/dports/devel/R-cran-ModelMetrics/ModelMetrics/R/
H A DRcppExports.R8 auc_ <- function(actual, predicted) { argument
12 auc2_ <- function(actual, predicted) { argument
16 auc3_ <- function(actual, predicted, ranks) { argument
48 brier_ <- function(actual, predicted) { argument
60 mae_ <- function(actual, predicted) { argument
64 ce_ <- function(actual, predicted) { argument
68 mse_ <- function(actual, predicted) { argument
72 msle_ <- function(actual, predicted) { argument
76 rmsle_ <- function(actual, predicted) { argument
80 rmse_ <- function(actual, predicted) { argument
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H A DModelMetrics.R21 mlogLoss <- function(actual, predicted){ argument
27 predicted = as.matrix(predicted)
31 predicted = pmax(pmin(predicted, 1 - eps), eps)
33 mlogLoss_(actual, predicted)
64 mauc <- function(actual, predicted){ argument
121 ppv_(actual, predicted, cutoff)
127 ppv_(actual, predicted, cutoff)
151 npv_(actual, predicted, cutoff)
213 tnr_(actual, predicted, cutoff)
218 tnr_(actual, predicted, cutoff)
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H A Drmsle.R18 rmsle_(actual, predicted)
25 predicted <- modelObject$fitted.values functionVar
28 rmsle.default(actual, predicted)
44 rmsle.default(actual, predicted)
54 rmsle.default(actual, predicted)
62 predicted <- modelObject@resp$mu functionVar
64 rmsle.default(actual, predicted)
72 predicted <- modelObject$fit functionVar
74 rmsle.default(actual, predicted)
82 predicted <- predict(modelObject) functionVar
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H A Dce.R18 ce_(actual, predicted)
25 predicted <- modelObject$fitted.values functionVar
28 ce.default(actual, predicted)
44 ce.default(actual, predicted)
54 ce.default(actual, predicted)
62 predicted <- modelObject@resp$mu functionVar
64 ce.default(actual, predicted)
72 predicted <- modelObject$fit functionVar
74 ce.default(actual, predicted)
82 predicted <- predict(modelObject) functionVar
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H A Dmsle.R18 msle_(actual, predicted)
25 predicted <- modelObject$fitted.values functionVar
28 msle.default(actual, predicted)
44 msle.default(actual, predicted)
54 msle.default(actual, predicted)
62 predicted <- modelObject@resp$mu functionVar
64 msle.default(actual, predicted)
72 predicted <- modelObject$fit functionVar
74 msle.default(actual, predicted)
82 predicted <- predict(modelObject) functionVar
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H A DlogLoss.R31 predicted = pmax(pmin(predicted, 1 - eps), eps)
35 return(logLoss_(actual, predicted))
39 return(plogLoss_(actual, predicted))
54 predicted <- modelObject$fitted.values functionVar
70 logLoss.default(actual, predicted)
78 predicted <- modelObject@resp$mu functionVar
80 logLoss.default(actual, predicted)
88 predicted <- modelObject$fit functionVar
90 logLoss.default(actual, predicted)
98 predicted <- predict(modelObject) functionVar
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H A Dmse.R25 mse_(actual, predicted)
32 predicted <- modelObject$fitted.values functionVar
33 actual <- modelObject$residuals + predicted
35 mse.default(actual, predicted)
45 predicted <- modelObject$fitted.values functionVar
50 mse.default(actual, predicted)
79 rmse_(actual, predicted)
86 predicted <- modelObject$fitted.values functionVar
89 rmse.default(actual, predicted)
99 predicted <- modelObject$fitted.values functionVar
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H A Dgini.R30 df1 <- data.frame(actual = actual, predicted = predicted) nameattr
32 df1 <- df1[order(-df1$predicted),]
45 predicted <- modelObject$fitted.values functionVar
50 gini.default(actual, predicted)
61 gini.default(actual, predicted)
69 predicted <- modelObject@resp$mu functionVar
71 gini.default(actual, predicted)
79 predicted <- modelObject$fit functionVar
81 gini.default(actual, predicted)
89 predicted <- predict(modelObject) functionVar
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H A Dauc.R40 ranks = frankv(predicted)
41 AUC <- auc3_(actual, predicted, ranks)
43 AUC <- auc_(actual, predicted)
60 auc.default(actual, predicted)
70 auc.default(actual, predicted)
78 predicted <- modelObject@resp$mu functionVar
80 auc.default(actual, predicted)
88 predicted <- modelObject$fit functionVar
90 auc.default(actual, predicted)
98 predicted <- predict(modelObject) functionVar
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H A Dmae.R17 mae.default <- function(actual, predicted, ...){ argument
18 mae_(actual, predicted)
29 predicted <- modelObject$fitted.values functionVar
34 mae.default(actual, predicted)
44 mae.default(actual, predicted)
52 predicted <- modelObject@resp$mu functionVar
54 mae.default(actual, predicted)
62 predicted <- modelObject$fit functionVar
64 mae.default(actual, predicted)
72 predicted <- predict(modelObject) functionVar
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H A Dbrier.R17 brier.default <- function(actual, predicted, ...){ argument
18 brier_(actual, predicted)
29 predicted <- modelObject$fitted.values functionVar
34 brier.default(actual, predicted)
44 brier.default(actual, predicted)
52 predicted <- modelObject@resp$mu functionVar
54 brier.default(actual, predicted)
62 predicted <- modelObject$fit functionVar
64 brier.default(actual, predicted)
72 predicted <- predict(modelObject) functionVar
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/dports/graphics/blender/blender-2.91.0/intern/libmv/libmv/autotrack/
H A Dpredict_tracks_test.cc56 Marker predicted; in TEST() local
57 predicted.clip = 0; in TEST()
58 predicted.track = 0; in TEST()
59 predicted.frame = 8; in TEST()
90 Marker predicted; in TEST() local
91 predicted.clip = 0; in TEST()
96 LG << predicted; in TEST()
125 Marker predicted; in TEST() local
144 Marker predicted; in TEST() local
166 Marker predicted; in TEST() local
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/dports/devel/R-cran-ModelMetrics/ModelMetrics/src/
H A DconfusionMatrix_.cpp10 cMat(0,0) = sum((predicted <= cutoff) & (actual == 0)); in confusionMatrix_()
12 cMat(0,1) = sum((predicted <= cutoff) & (actual == 1)); in confusionMatrix_()
14 cMat(1,0) = sum((predicted > cutoff) & (actual == 0)); in confusionMatrix_()
16 cMat(1,1) = sum((predicted > cutoff) & (actual == 1)); in confusionMatrix_()
57 double TN = sum((predicted < cutoff) & (actual == 0)); in tnr_()
81 double p = ppv_(actual, predicted, cutoff); in fScore_()
82 double r = recall_(actual, predicted, cutoff); in fScore_()
96 double p = ppv_(actual, predicted, cutoff); in f1Score_()
97 double r = recall_(actual, predicted, cutoff); in f1Score_()
111 double brier = mean(pow(actual - predicted, 2)); in brier_()
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H A DRcppExports.cpp20 double auc_(NumericVector actual, NumericVector predicted);
27 rcpp_result_gen = Rcpp::wrap(auc_(actual, predicted)); in _ModelMetrics_auc_()
32 double auc2_(NumericVector actual, NumericVector predicted);
39 rcpp_result_gen = Rcpp::wrap(auc2_(actual, predicted)); in _ModelMetrics_auc2_()
187 double mae_(NumericVector actual, NumericVector predicted);
194 rcpp_result_gen = Rcpp::wrap(mae_(actual, predicted)); in _ModelMetrics_mae_()
199 double ce_(NumericVector actual, NumericVector predicted);
206 rcpp_result_gen = Rcpp::wrap(ce_(actual, predicted)); in _ModelMetrics_ce_()
211 double mse_(NumericVector actual, NumericVector predicted);
218 rcpp_result_gen = Rcpp::wrap(mse_(actual, predicted)); in _ModelMetrics_mse_()
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H A Derror.cpp5 double mae_(NumericVector actual, NumericVector predicted) { in mae_() argument
6 double mae = mean(abs(actual - predicted)); in mae_()
12 double ce_(NumericVector actual, NumericVector predicted) { in ce_() argument
14 double Rows = predicted.size(); in ce_()
18 if(actual(i) != predicted(i)) { in ce_()
30 double mse_(NumericVector actual, NumericVector predicted) { in mse_() argument
32 NumericVector err = (actual-predicted); in mse_()
40 double msle_(NumericVector actual, NumericVector predicted) { in msle_() argument
54 double rmsle = sqrt(msle_(actual, predicted)); in rmsle_()
61 double rmse_(NumericVector actual, NumericVector predicted) { in rmse_() argument
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H A DlogLoss_.cpp5 double logLoss_(NumericVector actual, NumericVector predicted) { in logLoss_() argument
7 NumericVector ll = -1*(actual*log(predicted) + (1-actual)*log(1-predicted)); in logLoss_()
15 double mlogLoss_(NumericVector actual, NumericMatrix predicted) { in mlogLoss_() argument
17 double Rows = predicted.nrow(); in mlogLoss_()
18 double Cols = predicted.ncol(); in mlogLoss_()
26 double mlogloss = (-1 / Rows) * sum(actualMat * log(predicted)); in mlogLoss_()
33 double plogLoss_(NumericVector actual, NumericVector predicted) { in plogLoss_() argument
35 NumericVector pl = log(gamma(actual + 1)) + predicted - log(predicted) * actual; in plogLoss_()
/dports/math/py-networkx/networkx-2.6.3/networkx/algorithms/node_classification/tests/
H A Dtest_harmonic_function.py16 predicted = node_classification.harmonic_function(G, label_name=label_name)
17 assert predicted[0] == "A"
18 assert predicted[1] == "A"
19 assert predicted[2] == "B"
20 assert predicted[3] == "B"
55 assert predicted[0] == "A"
56 assert predicted[1] == "A"
57 assert predicted[2] == "A"
58 assert predicted[3] == "A"
65 assert predicted[i] == G.nodes[i][label_name]
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H A Dtest_local_and_global_consistency.py17 predicted = node_classification.local_and_global_consistency(
20 assert predicted[0] == "A"
21 assert predicted[1] == "A"
22 assert predicted[2] == "B"
23 assert predicted[3] == "B"
57 predicted = node_classification.local_and_global_consistency(
60 assert predicted[0] == "A"
61 assert predicted[1] == "A"
62 assert predicted[2] == "A"
63 assert predicted[3] == "A"
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/dports/devel/R-cran-caret/caret/R/
H A Dtrain_recipes.R24 predicted <- predicted[, object$levels]
26 predicted
301 predicted <- lapply(predicted,
312 for(k in seq(along = predicted)) predicted[[k]] <-
315 predicted <- do.call("rbind", predicted)
318 predicted <- cbind(predicted, allParam)
491 predicted <- trim_values(predicted, ctrl, is.null(lev))
505 predicted <- lapply(predicted,
767 predicted <- lapply(predicted,
945 predicted <- lapply(predicted,
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H A Dadaptive.R94 predicted[seq(along = predicted)] <- NA
101 for(i in seq(along = predicted)) predicted[[i]] <- tmp
120 predicted[seq(along = predicted)] <- NA
127 for(i in seq(along = predicted)) predicted[[i]] <- tmp
164 predicted <- lapply(predicted,
178 … for(k in seq(along = predicted)) predicted[[k]] <- cbind(predicted[[k]], probValues[[k]])
389 predicted <- lapply(predicted,
607 predicted[seq(along = predicted)] <- NA
633 predicted[seq(along = predicted)] <- NA
678 predicted <- lapply(predicted,
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/dports/science/PETSc/petsc-3.14.1/src/tao/tutorials/output/
H A Dex4_0.out1 J(xhat): 24.5106, predicted: 0.851231, diff 23.6594
2 J(xhat): 6.76613, predicted: 0.851288, diff 5.91484
3 J(xhat): 2.33003, predicted: 0.851317, diff 1.47871
4 J(xhat): 1.22101, predicted: 0.851331, diff 0.369677
5 J(xhat): 0.943758, predicted: 0.851338, diff 0.0924194
6 J(xhat): 0.874447, predicted: 0.851342, diff 0.0231048
7 J(xhat): 0.85712, predicted: 0.851344, diff 0.00577621
8 J(xhat): 0.852789, predicted: 0.851344, diff 0.00144405
9 J(xhat): 0.851706, predicted: 0.851345, diff 0.000361013
10 J(xhat): 0.851435, predicted: 0.851345, diff 9.02533e-05
H A Dex4_lmvm_admm_2.out8 J(xhat): 98.3926, predicted: 4.22724, diff 94.1653
9 J(xhat): 27.7686, predicted: 4.22724, diff 23.5413
10 J(xhat): 10.1126, predicted: 4.22724, diff 5.88533
11 J(xhat): 5.69858, predicted: 4.22724, diff 1.47133
12 J(xhat): 4.59508, predicted: 4.22724, diff 0.367833
13 J(xhat): 4.3192, predicted: 4.22724, diff 0.0919583
14 J(xhat): 4.25023, predicted: 4.22724, diff 0.0229896
15 J(xhat): 4.23299, predicted: 4.22724, diff 0.0057474
16 J(xhat): 4.22868, predicted: 4.22724, diff 0.00143685
17 J(xhat): 4.2276, predicted: 4.22724, diff 0.000359212
H A Dex4_nm_admm_2.out8 J(xhat): 98.3842, predicted: 4.21886, diff 94.1653
9 J(xhat): 27.7644, predicted: 4.22306, diff 23.5413
10 J(xhat): 10.1105, predicted: 4.22516, diff 5.88533
11 J(xhat): 5.69755, predicted: 4.22621, diff 1.47133
12 J(xhat): 4.59457, predicted: 4.22674, diff 0.367833
13 J(xhat): 4.31896, predicted: 4.227, diff 0.0919583
14 J(xhat): 4.25012, predicted: 4.22713, diff 0.0229896
15 J(xhat): 4.23295, predicted: 4.2272, diff 0.0057474
16 J(xhat): 4.22867, predicted: 4.22723, diff 0.00143685
17 J(xhat): 4.22761, predicted: 4.22725, diff 0.000359212
/dports/devel/sdl20/SDL2-2.0.18/test/
H A Dtestautomation_stdlib.c47 int predicted; in stdlib_snprintf() local
74 predicted = SDL_snprintf(NULL, 0, "%f", 0.0); in stdlib_snprintf()
79 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
87 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
95 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
103 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
111 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
119 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
127 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
135 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
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/dports/x11/controllermap/SDL2-2.0.18/test/
H A Dtestautomation_stdlib.c47 int predicted; in stdlib_snprintf() local
74 predicted = SDL_snprintf(NULL, 0, "%f", 0.0); in stdlib_snprintf()
79 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
87 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
95 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
103 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
111 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
119 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
127 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
135 …SDLTest_AssertCheck(predicted == result, "Check predicted value, expected: %d, got: %d", result, p… in stdlib_snprintf()
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