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/dports/math/mlpack/mlpack-3.4.2/src/mlpack/methods/hmm/
H A Dhmm_regression_impl.hpp27 StackData(predictors, responses, dataSeq); in Train()
36 StackData(predictors, responses, dataSeq); in Train()
52 StackData(predictors, responses, dataSeq); in Estimate()
66 StackData(predictors, responses, dataSeq); in Estimate()
80 StackData(predictors, responses, dataSeq); in Predict()
91 StackData(predictors, responses, dataSeq); in LogLikelihood()
121 emission[i].Predict(predictors.cols(ahead, predictors.n_cols-1), nextSeq); in Filter()
157 StackData(predictors, responses, dataSeq); in Forward()
168 StackData(predictors, responses, dataSeq); in Backward()
179 nextSeq = predictors[i]; in StackData()
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H A Dhmm_regression.hpp157 void Train(const std::vector<arma::mat>& predictors,
178 void Train(const std::vector<arma::mat>& predictors,
201 double Estimate(const arma::mat& predictors,
220 double Estimate(const arma::mat& predictors,
235 double Predict(const arma::mat& predictors,
246 double LogLikelihood(const arma::mat& predictors,
261 void Filter(const arma::mat& predictors,
278 void Smooth(const arma::mat& predictors,
290 void StackData(const arma::mat& predictors,
305 void Forward(const arma::mat& predictors,
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/dports/math/mlpack/mlpack-3.4.2/src/mlpack/tests/
H A Daugmented_rnns_tasks_test.cpp62 void Predict(arma::mat& predictors, in Predict() argument
78 size_t sz = predictors.n_elem; in Predict()
105 predictors = predictors.t(); in Predict()
106 predictors.reshape(bitLen, predictors.n_elem / bitLen); in Predict()
107 size_t len = predictors.n_cols; in Predict()
116 val += predictors.at(k, j); in Predict()
131 size_t sz = predictors.n_elem; in Predict()
159 predictors = predictors.t(); in Predict()
160 predictors.reshape(3, predictors.n_elem / 3); in Predict()
161 assert(predictors.n_rows == 3); in Predict()
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H A Dlinear_regression_test.cpp28 arma::mat predictors(3, 10); variable
45 points = predictors;
52 predictors[elem] += math::Random() / 50.0;
61 LinearRegression lr(predictors, responses);
75 arma::mat predictors; variable
82 LinearRegression lr(predictors, responses);
94 arma::mat predictors; variable
138 arma::mat predictors(3, 10); variable
155 points = predictors;
231 arma::mat predictors(3, 10); variable
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/dports/math/ensmallen/ensmallen-2.17.0/include/ensmallen_bits/problems/
H A Dlogistic_regression_function_impl.hpp23 MatType& predictors, in LogisticRegressionFunction() argument
27 predictors(predictors), in LogisticRegressionFunction()
48 MatType& predictors, in LogisticRegressionFunction() argument
53 predictors(predictors), in LogisticRegressionFunction()
74 predictors.n_cols - 1, predictors.n_cols)); in Shuffle()
76 newPredictors.set_size(predictors.n_rows, predictors.n_cols); in Shuffle()
82 predictors = std::move(newPredictors); in Shuffle()
180 predictors.t() + regularization; in Gradient()
198 / predictors.n_cols * batchSize; in Gradient()
267 predictors.t() + regularization; in EvaluateWithGradient()
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H A Dlogistic_regression_function.hpp29 LogisticRegressionFunction(MatType& predictors,
33 LogisticRegressionFunction(MatType& predictors,
49 const MatType& Predictors() const { return predictors; } in Predictors()
157 size_t NumFunctions() const { return predictors.n_cols; } in NumFunctions()
160 size_t NumFeatures() const { return predictors.n_rows + 1; } in NumFeatures()
177 double ComputeAccuracy(const MatType& predictors,
204 MatType& predictors; member in ens::test::LogisticRegressionFunction
/dports/devel/R-cran-caret/caret/man/
H A Dpredictors.Rd3 \name{predictors}
4 \alias{predictors}
5 \alias{predictors.formula}
6 \alias{predictors.terms}
7 \alias{predictors.train}
8 \alias{predictors.default}
9 \alias{predictors.list}
10 \alias{predictors.rfe}
11 \alias{predictors.sbf}
14 predictors(x, ...)
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H A DtwoClassSim.Rd42 \item{noiseVars}{The number of uncorrelated irrelevant predictors to be
45 \item{corrVars}{The number of correlated irrelevant predictors to be
53 \item{factors}{Should the binary predictors be converted to factors?}
74 predictors (\code{J}, \code{K} and \code{L} above).} \item{Linear1,
75 }{Optional uncorrelated standard normal predictors (\code{C} through
80 normal predictors (each with unit variances)}\item{list()}{Optional
85 important predictors and irrelevant predictions.
100 predictors in this set, their contribution to the log-odds would be
110 systems and use two more predictors (\code{K} and \code{L}):
174 or a set number of predictors that follow a particular correlation
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/dports/math/mlpack/mlpack-3.4.2/src/mlpack/methods/linear_regression/
H A Dlinear_regression.cpp19 LinearRegression::LinearRegression(const arma::mat& predictors, in LinearRegression() argument
26 LinearRegression::LinearRegression(const arma::mat& predictors, in LinearRegression() argument
34 Train(predictors, responses, weights, intercept); in LinearRegression()
37 double LinearRegression::Train(const arma::mat& predictors, in Train() argument
44 double LinearRegression::Train(const arma::mat& predictors, in Train() argument
60 const size_t nCols = predictors.n_cols; in Train()
62 arma::mat p = predictors; in Train()
88 return ComputeError(predictors, responses); in Train()
119 const size_t nCols = predictors.n_cols; in ComputeError()
120 const size_t nRows = predictors.n_rows; in ComputeError()
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/dports/math/mlpack/mlpack-3.4.2/src/mlpack/methods/logistic_regression/
H A Dlogistic_regression_function_impl.hpp25 const MatType& predictors, in LogisticRegressionFunction() argument
29 predictors(math::MakeAlias(const_cast<MatType&>(predictors), false)), in LogisticRegressionFunction()
35 if (responses.n_elem != predictors.n_cols) in LogisticRegressionFunction()
56 math::ClearAlias(predictors); in Shuffle()
60 predictors = std::move(newPredictors); in Shuffle()
116 (batchSize / (2.0 * predictors.n_cols)) * in Evaluate()
151 predictors.t() + regularization; in Gradient()
167 / predictors.n_cols * batchSize; in Gradient()
171 predictors.cols(begin, begin + batchSize - 1); in Gradient()
230 predictors.t() + regularization; in EvaluateWithGradient()
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H A Dlogistic_regression_impl.hpp25 const MatType& predictors, in LogisticRegression() argument
30 Train(predictors, responses); in LogisticRegression()
35 const MatType& predictors, in LogisticRegression() argument
42 Train(predictors, responses); in LogisticRegression()
58 const MatType& predictors, in LogisticRegression() argument
64 Train(predictors, responses, optimizer); in LogisticRegression()
70 const MatType& predictors, in Train() argument
81 const MatType& predictors, in Train() argument
90 if (parameters.n_elem != predictors.n_rows + 1) in Train()
142 const MatType& predictors, in ComputeError() argument
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H A Dlogistic_regression.hpp57 LogisticRegression(const MatType& predictors,
77 LogisticRegression(const MatType& predictors,
111 LogisticRegression(const MatType& predictors,
134 double Train(const MatType& predictors,
157 double Train(const MatType& predictors,
225 double ComputeAccuracy(const MatType& predictors,
237 double ComputeError(const MatType& predictors,
/dports/multimedia/xvid/xvidcore/src/prediction/
H A Dmbprediction.c69 int16_t predictors[8], in predict_acdc()
218 int16_t predictors[8], in add_acdc()
278 int16_t predictors[8]) in calc_acdc_coeff()
304 level -= predictors[i]; in calc_acdc_coeff()
306 predictors[i] = level; in calc_acdc_coeff()
315 level -= predictors[i]; in calc_acdc_coeff()
317 predictors[i] = level; in calc_acdc_coeff()
335 int16_t predictors[8]) in calc_acdc_bits()
363 predictors[i] = qcoeff[i]; in calc_acdc_bits()
393 int16_t predictors[8]) in apply_acdc()
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/dports/science/py-dlib/dlib-19.22/tools/python/test/
H A Dtest_svm_c_trainer.py24 predictors = vectors()
31 predictors.append(vector(values))
36 return predictors, sparse_predictors, response
54 predictors, sparse_predictors, response = training_data
56 predictors = sparse_predictors
57 cv = cross_validate_trainer(trainer(), predictors, response, folds=10)
61 decision_function = trainer().train(predictors, response)
62 assert decision_function(predictors[2]) < 0
63 assert decision_function(predictors[3]) > 0
/dports/science/dlib-cpp/dlib-19.22/tools/python/test/
H A Dtest_svm_c_trainer.py24 predictors = vectors()
31 predictors.append(vector(values))
36 return predictors, sparse_predictors, response
54 predictors, sparse_predictors, response = training_data
56 predictors = sparse_predictors
57 cv = cross_validate_trainer(trainer(), predictors, response, folds=10)
61 decision_function = trainer().train(predictors, response)
62 assert decision_function(predictors[2]) < 0
63 assert decision_function(predictors[3]) > 0
/dports/math/mlpack/mlpack-3.4.2/src/mlpack/methods/ann/
H A Drnn_impl.hpp103 arma::cube predictors, in Train() argument
110 this->predictors = std::move(predictors); in Train()
148 arma::cube predictors, in Train() argument
154 this->predictors = std::move(predictors); in Train()
198 size_t(predictors.n_cols)); in Predict()
200 Forward(arma::mat(predictors.slice(0).colptr(0), predictors.n_rows, in Predict()
214 size_t(predictors.n_cols - begin)); in Predict()
248 inputSize = predictors.n_rows; in Evaluate()
265 predictors.n_rows, batchSize, false, true); in Evaluate()
329 inputSize = predictors.n_rows; in EvaluateWithGradient()
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H A Dffn_impl.hpp58 arma::mat predictors, arma::mat responses) in ResetData() argument
61 this->predictors = std::move(predictors); in ResetData()
109 arma::mat predictors, in Train() argument
132 arma::mat predictors, in Train() argument
232 Forward(arma::mat(predictors.colptr(0), predictors.n_rows, 1, false, true)); in Predict()
241 Forward(arma::mat(predictors.colptr(i), predictors.n_rows, 1, false, true)); in Predict()
264 Forward(predictors); in Evaluate()
404 math::ShuffleData(predictors, responses, predictors, responses); in Shuffle()
607 std::swap(predictors, network.predictors); in Swap()
628 predictors(network.predictors), in FFN()
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H A Dbrnn_impl.hpp124 arma::cube predictors, in Train() argument
130 this->predictors = std::move(predictors); in Train()
159 arma::cube predictors, in Train() argument
164 this->predictors = std::move(predictors); in Train()
225 size_t(predictors.n_cols - begin)); in Predict()
229 predictors.slice(seqNum).colptr(begin), in Predict()
288 inputSize = predictors.n_rows; in Evaluate()
306 predictors.slice(seqNum).colptr(begin), in Evaluate()
407 inputSize = predictors.n_rows; in EvaluateWithGradient()
424 predictors.slice(seqNum).colptr(begin), in EvaluateWithGradient()
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/dports/devel/R-cran-caret/caret/R/
H A Dpredictors.R38 if(!is.null(code$predictors)){
42 out <- code$predictors(x$finalModel, ...)
45 out <- predictors(x$terms, ...)
57 if(!is.null(code$predictors)){
61 out <- code$predictors(x, ...)
64 out <- predictors(x$terms, ...)
68 out <- if(hasTerms(x)) predictors(x$terms) else NA
119 out <- lapply(x, predictors)
/dports/deskutils/presage/presage-0.9.1/src/lib/core/
H A DpredictorRegistry.cpp85 for (std::vector<Predictor*>::const_iterator it = predictors.begin(); in setPredictors()
86 it != predictors.end(); in setPredictors()
194 predictors.push_back (predictor); in addPredictor()
207 std::vector<Predictor*>::iterator it = predictors.begin(); in removePredictor()
208 while (it != predictors.end()) in removePredictor()
213 it = predictors.erase(it); in removePredictor()
225 for (size_t i = 0; i < predictors.size(); i++) { in removePredictors()
226 logger << DEBUG << "Removing predictor: " << predictors[i]->getName() << endl; in removePredictors()
227 delete predictors[i]; in removePredictors()
229 predictors.clear(); in removePredictors()
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/dports/math/mlpack/mlpack-3.4.2/src/mlpack/methods/ann/gan/
H A Dgan_impl.hpp76 predictors(network.predictors), in GAN()
109 predictors(std::move(network.predictors)), in GAN()
158 this->discriminator.predictors = arma::mat(this->predictors.memptr(), in ResetData()
159 this->predictors.n_rows, this->predictors.n_cols, false, false); in ResetData()
167 this->generator.predictors.set_size(noiseDim, batchSize); in ResetData()
256 currentInput = arma::mat(predictors.memptr() + (i * predictors.n_rows), in Evaluate()
257 predictors.n_rows, batchSize, false, false); in Evaluate()
270 predictors.cols(numFunctions, numFunctions + batchSize - 1) = in Evaluate()
272 discriminator.Forward(predictors.cols(numFunctions, in Evaluate()
344 predictors.cols(numFunctions, numFunctions + batchSize - 1) = in EvaluateWithGradient()
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H A Dwgangp_impl.hpp49 currentInput = arma::mat(predictors.memptr() + (i * predictors.n_rows), in Evaluate()
50 predictors.n_rows, batchSize, false, false); in Evaluate()
65 predictors.cols(numFunctions, numFunctions + batchSize - 1) = in Evaluate()
67 discriminator.Forward(std::move(predictors.cols(numFunctions, in Evaluate()
81 predictors.cols(numFunctions, numFunctions + batchSize - 1) = in Evaluate()
144 currentInput = arma::mat(predictors.memptr() + (i * predictors.n_rows), in EvaluateWithGradient()
145 predictors.n_rows, batchSize, false, false); in EvaluateWithGradient()
158 predictors.cols(numFunctions, numFunctions + batchSize - 1) = in EvaluateWithGradient()
166 predictors.cols(numFunctions, numFunctions + batchSize - 1) = in EvaluateWithGradient()
/dports/math/R-cran-VGAM/VGAM/R/
H A Dfittedvlm.R98 object@predictors
100 if (!is.matrix(object@predictors) || !length(object@predictors))
103 if (ncol(object@predictors) == 1) {
104 c(object@predictors)
107 c(object@predictors)
/dports/www/chromium-legacy/chromium-88.0.4324.182/chrome/browser/predictors/
H A Dloading_predictor_config_unittest.cc15 namespace predictors { namespace
32 feature_list.InitAndEnableFeature(predictors::kSpeculativePreconnectFeature); in TEST_F()
42 feature_list.InitAndDisableFeature(predictors::kSpeculativePreconnectFeature); in TEST_F()
52 feature_list.InitAndEnableFeature(predictors::kSpeculativePreconnectFeature); in TEST_F()
62 feature_list.InitAndEnableFeature(predictors::kSpeculativePreconnectFeature); in TEST_F()
73 feature_list.InitAndEnableFeature(predictors::kSpeculativePreconnectFeature); in TEST_F()
/dports/www/chromium-legacy/chromium-88.0.4324.182/chrome/browser/page_load_metrics/observers/
H A Dloading_predictor_page_load_metrics_observer.h15 namespace predictors {
42 predictors::ResourcePrefetchPredictor* predictor,
43 predictors::LoadingDataCollector* collector);
59 predictors::ResourcePrefetchPredictor* predictor_;
60 predictors::LoadingDataCollector* collector_;

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