| /dports/www/grafana8/grafana-8.3.6/vendor/gonum.org/v1/gonum/optimize/ |
| H A D | gradientdescent.go | 10 _ Method = (*GradientDescent)(nil)
11 _ localMethod = (*GradientDescent)(nil)
12 _ NextDirectioner = (*GradientDescent)(nil)
17 type GradientDescent struct { struct
35 func (g *GradientDescent) Status() (Status, error) { argument
39 func (*GradientDescent) Uses(has Available) (uses Available, err error) { argument
43 func (g *GradientDescent) Init(dim, tasks int) int { argument
49 func (g *GradientDescent) Run(operation chan<- Task, result <-chan Task, tasks []Task) { argument
54 func (g *GradientDescent) initLocal(loc *Location) (Operation, error) { argument
71 func (g *GradientDescent) iterateLocal(loc *Location) (Operation, error) { argument
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| /dports/sysutils/istio/istio-1.6.7/vendor/github.com/openshift/api/vendor/gonum.org/v1/gonum/optimize/ |
| H A D | gradientdescent.go | 10 _ Method = (*GradientDescent)(nil)
11 _ localMethod = (*GradientDescent)(nil)
16 type GradientDescent struct { struct
34 func (g *GradientDescent) Status() (Status, error) { argument
38 func (*GradientDescent) Uses(has Available) (uses Available, err error) { argument
42 func (g *GradientDescent) Init(dim, tasks int) int { argument
48 func (g *GradientDescent) Run(operation chan<- Task, result <-chan Task, tasks []Task) { argument
54 func (g *GradientDescent) initLocal(loc *Location) (Operation, error) { argument
71 func (g *GradientDescent) iterateLocal(loc *Location) (Operation, error) { argument
75 func (g *GradientDescent) InitDirection(loc *Location, dir []float64) (stepSize float64) { argument
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| /dports/graphics/mirtk/MIRTK-2.0.0-122-g38210fa/Modules/Numerics/src/ |
| H A D | GradientDescent.cc | 33 mirtkAutoRegisterOptimizerMacro(GradientDescent);
41 GradientDescent::GradientDescent(ObjectiveFunction *f) in GradientDescent() function in mirtk::GradientDescent
57 void GradientDescent::CopyAttributes(const GradientDescent &other) in CopyAttributes()
73 GradientDescent::GradientDescent(const GradientDescent &other) in GradientDescent() function in mirtk::GradientDescent
84 GradientDescent &GradientDescent::operator =(const GradientDescent &other) in operator =()
94 GradientDescent::~GradientDescent() in ~GradientDescent()
102 void GradientDescent::Function(ObjectiveFunction *f) in Function()
176 ParameterList GradientDescent::Parameter() const in Parameter()
194 void GradientDescent::Initialize() in Initialize()
230 double GradientDescent::Run() in Run()
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| H A D | ConjugateGradientDescent.cc | 41 GradientDescent(f), in ConjugateGradientDescent()
70 GradientDescent(other), in ConjugateGradientDescent()
80 GradientDescent::operator =(other); in operator =()
104 return GradientDescent::Set(name, value); in Set()
110 ParameterList params = GradientDescent::Parameter(); in Parameter()
122 GradientDescent::Initialize(); in Initialize()
131 GradientDescent::Finalize(); in Finalize()
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| /dports/graphics/mirtk/MIRTK-2.0.0-122-g38210fa/Modules/Numerics/include/mirtk/ |
| H A D | GradientDescent.h | 35 class GradientDescent : public LocalOptimizer
37 mirtkOptimizerMacro(GradientDescent, OM_GradientDescent);
64 void CopyAttributes(const GradientDescent &);
83 GradientDescent(ObjectiveFunction * = NULL);
86 GradientDescent(const GradientDescent &);
89 GradientDescent &operator =(const GradientDescent &);
92 virtual ~GradientDescent();
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| H A D | ConjugateGradientDescent.h | 33 class ConjugateGradientDescent : public GradientDescent
79 using GradientDescent::Parameter;
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| /dports/misc/opennn/opennn-5.0.5/opennn/ |
| H A D | gradient_descent.cpp | 18 GradientDescent::GradientDescent() in GradientDescent() function in OpenNN::GradientDescent
30 GradientDescent::GradientDescent(LossIndex* new_loss_index_pointer) in GradientDescent() function in OpenNN::GradientDescent
41 GradientDescent::~GradientDescent() in ~GradientDescent()
64 string GradientDescent::get_hardware_use() const in get_hardware_use()
80 const type& GradientDescent::get_minimum_loss_decrease() const in get_minimum_loss_decrease()
89 const type& GradientDescent::get_loss_goal() const in get_loss_goal()
98 const type& GradientDescent::get_gradient_norm_goal() const in get_gradient_norm_goal()
122 const type& GradientDescent::get_maximum_time() const in get_maximum_time()
164 void GradientDescent::set_default() in set_default()
451 void GradientDescent::update_epoch( in update_epoch()
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| H A D | gradient_descent.h | 46 class GradientDescent : public OptimizationAlgorithm
59 explicit GDOptimizationData(GradientDescent* new_gradient_descent_pointer) in GDOptimizationData()
66 void set(GradientDescent* new_gradient_descent_pointer) in set()
107 GradientDescent* gradient_descent_pointer = nullptr;
138 explicit GradientDescent();
140 explicit GradientDescent(LossIndex*);
144 virtual ~GradientDescent();
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| H A D | training_strategy.h | 113 GradientDescent* get_gradient_descent_pointer();
226 GradientDescent gradient_descent;
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/acro/packages/colin/src/libs/ |
| H A D | GradientDescent.cpp | 32 SolverMngr().declare_solver_type<GradientDescent> in RegisterGradientDescent()
35 SolverMngr().declare_solver_type<GradientDescent> in RegisterGradientDescent()
50 GradientDescent::GradientDescent() in GradientDescent() function in colin::GradientDescent
53 ( boost::bind( &GradientDescent::reset_GradientDescent, this ) ); in GradientDescent()
59 void GradientDescent::reset_GradientDescent() in reset_GradientDescent()
75 void GradientDescent::optimize() in optimize()
181 bool GradientDescent::check_convergence() in check_convergence()
199 std::string GradientDescent::define_solver_type() const in define_solver_type()
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| /dports/math/ensmallen/ensmallen-2.17.0/tests/ |
| H A D | gradient_descent_test.cpp | 22 GradientDescent s(0.01, 5000000, 1e-9);
28 GradientDescent s(0.001, 0, 1e-15);
34 GradientDescent s(0.001, 0, 1e-15);
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| /dports/devel/spark/spark-2.1.1/mllib/src/test/scala/org/apache/spark/mllib/optimization/ |
| H A D | GradientDescentSuite.scala | 91 val (_, loss) = GradientDescent.runMiniBatchSGD(
124 val (newWeights0, loss0) = GradientDescent.runMiniBatchSGD(
128 val (newWeights1, loss1) = GradientDescent.runMiniBatchSGD(
168 val (_, loss) = GradientDescent.runMiniBatchSGD(
194 val (weights, loss) = GradientDescent.runMiniBatchSGD(
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| H A D | LBFGSSuite.scala | 79 val (_, lossGD) = GradientDescent.runMiniBatchSGD(
117 val (weightGD, lossGD) = GradientDescent.runMiniBatchSGD(
217 val (weightGD, _) = GradientDescent.runMiniBatchSGD(
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| /dports/math/ensmallen/ensmallen-2.17.0/include/ensmallen_bits/gradient_descent/ |
| H A D | gradient_descent_impl.hpp | 23 inline GradientDescent::GradientDescent( in GradientDescent() function in ens::GradientDescent
39 GradientDescent::Optimize(FunctionType& function, in Optimize()
121 GradientDescent::Optimize( in Optimize()
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| H A D | gradient_descent.hpp | 43 class GradientDescent class
58 GradientDescent(const double stepSize = 0.01,
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| /dports/devel/spark/spark-2.1.1/mllib/src/main/scala/org/apache/spark/mllib/optimization/ |
| H A D | GradientDescent.scala | 35 class GradientDescent private[spark] (private var gradient: Gradient, private var updater: Updater) class
135 val (weights, _) = GradientDescent.runMiniBatchSGD(
155 object GradientDescent extends Logging { object
293 GradientDescent.runMiniBatchSGD(data, gradient, updater, stepSize, numIterations,
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/acro/packages/colin/src/colin/solver/ |
| H A D | GradientDescent.h | 29 class GradientDescent
35 GradientDescent();
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/external/acro/packages/colin/test/driver/data/ |
| H A D | exec3.qa | 5 colin:GradientDescent
12 An alias to colin:GradientDescent
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| /dports/science/pybrain/pybrain-0.3.3/pybrain/optimization/finitedifference/ |
| H A D | fd.py | 6 from pybrain.auxiliary import GradientDescent
26 self.gd = GradientDescent()
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| H A D | pgpe.py | 5 from pybrain.auxiliary import GradientDescent
30 self.gdSig = GradientDescent()
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| /dports/misc/py-orange3-educational/orange3-educational-0.4.0/orangecontrib/educational/widgets/utils/ |
| H A D | linear_regression.py | 6 GradientDescent
9 class LinearRegression(GradientDescent):
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| H A D | logistic_regression.py | 6 GradientDescent
9 class LogisticRegression(GradientDescent):
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| /dports/science/pybrain/pybrain-0.3.3/pybrain/rl/learners/directsearch/ |
| H A D | policygradient.py | 6 from pybrain.auxiliary import GradientDescent
31 self.gd = GradientDescent()
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| /dports/misc/py-orange3-educational/orange3-educational-0.4.0/orangecontrib/educational/widgets/utils/tests/ |
| H A D | test_gradient_descent.py | 4 GradientDescent
15 self.gradient_descent = GradientDescent()
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| /dports/science/pybrain/pybrain-0.3.3/pybrain/auxiliary/ |
| H A D | __init__.py | 1 from pybrain.auxiliary.gradientdescent import GradientDescent
|