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Definition at line 113 of file pl_hash_fun.h.
Referenced by PLearn::VMatrix::accumulateXtX(), PLearn::VMatrix::accumulateXtY(), PLearn::Kernel::apply(), PLearn::binary_search(), PLearn::binread(), PLearn::binread_(), PLearn::binread_double(), PLearn::binreadField(), PLearn::binreadField_double(), PLearn::binwrite(), PLearn::binwrite_(), PLearn::binwrite_double(), PLearn::binwriteField(), PLearn::binwriteField_double(), PLearn::UnaryHardSlopeVariable::bprop(), PLearn::SoftSlopeVariable::bprop(), PLearn::HardSlopeVariable::bprop(), PLearn::bprop_update_layer(), PLearn::bpropCholeskySolve(), PLearn::TangentLearner::build_(), PLearn::HistogramDistribution::cdf(), PLearn::EmpiricalDistribution::cdf(), PLearn::GhostScript::centerShow(), PLearn::check_prob(), PLearn::choleskySolve(), PLearn::clear(), PLearn::clear_1(), PLearn::ProbabilitySparseMatrix::clearElements(), PLearn::closestPointOnHyperplane(), PLearn::compute_learner_outputs_on_grid(), PLearn::DivisiveNormalizationKernel::computeAverage(), PLearn::AdditiveNormalizationKernel::computeAverage(), PLearn::computeNearestNeighbors(), PLearn::Kernel::computeNearestNeighbors(), PLearn::PConditionalDistribution::computeOutput(), PLearn::PCA::computeOutput(), PLearn::computeOutputFields(), PLearn::computeXYPositions(), PLearn::SDBVMFieldSignedPower::convertField(), PLearn::SDBVMFieldDivSigma::convertField(), PLearn::SDBVMFieldNormalize::convertField(), PLearn::TVec< pair< real, real > >::copyFrom(), PLearn::TVec< pair< real, real > >::copyTo(), PLearn::TMat< pair< real, real > >::copyTo(), PLearn::correlation(), PLearn::correlations(), PLearn::SpiralDistribution::curve(), PLearn::d_hard_slope(), PLearn::d_soft_slope(), PLearn::HistogramDistribution::density(), PLearn::Distribution::density(), PLearn::ConditionalGaussianDistribution::density(), PLearn::diffSquareMultiplyAcc(), PLearn::diffSquareMultiplyScaledAcc(), PLearn::dilogarithm(), PLearn::GhostScript::displayBlack(), PLearn::displayDecisionSurface(), PLearn::GhostScript::displayGray(), PLearn::GhostScript::displayRGB(), PLearn::displayVarGraph(), PLearn::dot_product(), PLearn::GhostScript::drawBox(), PLearn::GhostScript::drawCircle(), PLearn::GhostScript::drawCross(), PLearn::DX_create_grid_outputs_file(), PLearn::eigenSparseNonSymmMat(), PLearn::eigenSparseSymmMat(), PLearn::estimatedCumProb(), PLearn::Kernel::evaluate_all_i_x(), PLearn::Kernel::evaluate_all_x_i(), PLearn::SourceKernel::evaluate_i_x(), PLearn::ReconstructionWeightsKernel::evaluate_i_x(), PLearn::PrecomputedKernel::evaluate_i_x(), PLearn::PolynomialKernel::evaluate_i_x(), PLearn::LLEKernel::evaluate_i_x(), PLearn::Kernel::evaluate_i_x(), PLearn::GeodesicDistanceKernel::evaluate_i_x(), PLearn::GaussianKernel::evaluate_i_x(), PLearn::DotProductKernel::evaluate_i_x(), PLearn::DivisiveNormalizationKernel::evaluate_i_x(), PLearn::AdditiveNormalizationKernel::evaluate_i_x(), PLearn::LLEKernel::evaluate_i_x_again(), PLearn::Kernel::evaluate_i_x_again(), PLearn::GeodesicDistanceKernel::evaluate_i_x_again(), PLearn::DivisiveNormalizationKernel::evaluate_i_x_again(), PLearn::AdditiveNormalizationKernel::evaluate_i_x_again(), PLearn::SourceKernel::evaluate_x_i(), PLearn::ReconstructionWeightsKernel::evaluate_x_i(), PLearn::PrecomputedKernel::evaluate_x_i(), PLearn::PolynomialKernel::evaluate_x_i(), PLearn::Kernel::evaluate_x_i(), PLearn::GaussianKernel::evaluate_x_i(), PLearn::DotProductKernel::evaluate_x_i(), PLearn::DivisiveNormalizationKernel::evaluate_x_i(), PLearn::AdditiveNormalizationKernel::evaluate_x_i(), PLearn::ReconstructionWeightsKernel::evaluate_x_i_again(), PLearn::Kernel::evaluate_x_i_again(), PLearn::DivisiveNormalizationKernel::evaluate_x_i_again(), PLearn::AdditiveNormalizationKernel::evaluate_x_i_again(), PLearn::ProbabilitySparseMatrix::exists(), PLearn::exp(), PLearn::exponentialMovingAverageUpdate(), PLearn::exponentialMovingSquareUpdate(), PLearn::exponentialMovingVarianceUpdate(), PLearn::FABS(), PLearn::fastsigmoid(), PLearn::fasttanh(), PLearn::FieldValue::FieldValue(), PLearn::GhostScript::fillBox(), PLearn::GhostScript::fillCircle(), PLearn::HistogramDistribution::find_bin(), PLearn::SoftSlopeVariable::fprop(), PLearn::HardSlopeVariable::fprop(), PLearn::ProbabilitySparseMatrix::fullPrint(), PLearn::gamdev(), PLearn::gauss_01_cum(), PLearn::gauss_01_density(), PLearn::gauss_01_log_density(), PLearn::gauss_cum(), PLearn::gauss_density_stddev(), PLearn::gauss_density_var(), PLearn::gauss_log_density_stddev(), PLearn::gauss_log_density_var(), PLearn::UniformDistribution::generate(), PLearn::SpiralDistribution::generate(), PLearn::GaussMix::generate(), PLearn::GaussianDistribution::generate(), PLearn::EmpiricalDistribution::generate(), PLearn::ConditionalGaussianDistribution::generate(), PLearn::ProbabilitySparseMatrix::get(), PLearn::ProbabilitySparseMatrix::getPYx(), PLearn::ProbabilitySparseMatrix::getPYxCopy(), PLearn::hard_slope(), PLearn::HardSlopeVariable::HardSlopeVariable(), PLearn::hashval(), PLearn::hyperplaneDistance(), PLearn::incbcf(), PLearn::incbd(), PLearn::incomplete_beta(), PLearn::incomplete_beta_continued_fraction(), PLearn::ProbabilitySparseMatrix::incr(), PLearn::inverse_sigmoid(), PLearn::ipow(), PLearn::VecCompressor::is0(), PLearn::is_integer(), PLearn::is_missing(), PLearn::is_positive(), PLearn::VecCompressor::isF(), PLearn::VecCompressor::isI(), PLearn::Kernel::isInData(), PLearn::RowIterator::isMissing(), PLearn::isMissing(), PLearn::VecCompressor::issmallint(), PLearn::KS_test(), PLearn::linearRegression(), PLearn::load(), PLearn::log(), PLearn::log_beta(), PLearn::LocallyWeightedDistribution::log_density(), PLearn::HistogramDistribution::log_density(), PLearn::GaussianDistribution::log_density(), PLearn::log_gamma(), PLearn::log_softmax(), PLearn::logOfCompactGaussian(), PLearn::logOfNormal(), PLearn::logPFittedGaussian(), PLearn::Variable::makeSharedGradient(), PLearn::Variable::makeSharedRValue(), PLearn::Variable::makeSharedValue(), PLearn::TVec< pair< real, real > >::makeSharedValue(), PLearn::manual_seed(), PLearn::SimpleDB< KeyType, QueryResult >::memoryToDisk(), PLearn::GhostScript::moveto(), PLearn::GhostScript::multilineShow(), PLearn::multiply(), PLearn::multiplyAcc(), PLearn::multivariate_normal(), PLearn::mypow(), PLearn::new_get_compr_data_type(), PLearn::ConjGradientOptimizer::newtonSearch(), PLearn::normal_cdf(), PLearn::OldDisplayVarGraph(), PLearn::operator &(), PLearn::FieldRowRef::operator FieldValue(), PLearn::operator!=(), PLearn::RowIterator::operator!=(), PLearn::FieldPtr::operator!=(), PLearn::SelectedIndicesCmp< T >::operator()(), PLearn::ProbabilitySparseMatrix::operator()(), PLearn::RowIterator::operator++(), PLearn::operator<(), PLearn::RealRange::operator<(), PLearn::PStream::operator<<(), PLearn::operator<<(), PLearn::operator<=(), PLearn::RowIterator::operator=(), PLearn::FieldRowRef::operator=(), PLearn::TVec< pair< real, real > >::operator==(), PLearn::operator==(), PLearn::RowIterator::operator==(), PLearn::FieldPtr::operator==(), PLearn::Field::operator==(), PLearn::operator>(), PLearn::RealRange::operator>(), PLearn::operator>=(), PLearn::PStream::operator>>(), PLearn::operator>>(), PLearn::NumToStringMapping::operator[](), PLearn::pl_erf(), PLearn::pl_gammq(), PLearn::pl_gcf(), PLearn::pl_gser(), PLearn::Grapher::plot_1D_regression(), PLearn::Grapher::plot_2D_classification(), PLearn::Gnuplot::plotClasses(), PLearn::Gnuplot::plotdensity(), PLearn::positive_dilogarithm(), PLearn::print(), PLearn::SparseMatrix::product(), PLearn::product(), PLearn::RowMapSparseMatrix< real >::product(), PLearn::TinyVector< T, N, TTrait >::push_back(), PLearn::Storage< pair< real, real > >::push_back(), PLearn::SmallVector< T, SizeBits, Allocator >::push_back(), PLearn::PStream::put(), PLearn::read(), PLearn::PStream::readAsciiNum(), PLearn::readField(), PLearn::readSequence(), PLearn::ReconstructionWeightsKernel::reconstruct(), PLearn::ProbabilitySparseMatrix::removeColumn(), PLearn::ProbabilitySparseMatrix::removeElem(), PLearn::ProbabilitySparseMatrix::removeExtra(), PLearn::RealMapping::removeMapping(), PLearn::ProbabilitySparseMatrix::removeRow(), PLearn::RowIterator::RowIterator(), PLearn::TestDependencyCommand::run(), PLearn::TestDependenciesCommand::run(), PLearn::samePos(), PLearn::Row::sanitize(), PLearn::save(), PLearn::GhostScript::scale(), PLearn::Schema::Schema(), PLearn::selectAndOrder(), PLearn::ProbabilitySparseMatrix::set(), PLearn::GhostScript::setdash(), PLearn::RowIterator::setMissing(), PLearn::ProbabilitySparseMatrix::setPYx(), PLearn::GhostScript::show(), PLearn::sigmoid(), PLearn::small_dilogarithm(), PLearn::soft_slope(), PLearn::soft_slope_limit(), PLearn::softmax(), PLearn::softplus(), PLearn::softplus_primitive(), PLearn::SoftSlopeVariable::SoftSlopeVariable(), PLearn::SpearmanRankCorrelation(), PLearn::square(), PLearn::square_f(), PLearn::squareAcc(), PLearn::squareElements(), PLearn::squareMultiplyAcc(), PLearn::squareSubtract(), PLearn::sumabs(), PLearn::ProbabilitySparseMatrix::sumPyX(), PLearn::ProbabilitySparseMatrix::sumPYx(), PLearn::sumsquare(), PLearn::HistogramDistribution::survival_fn(), PLearn::EmpiricalDistribution::survival_fn(), PLearn::SimpleDB< KeyType, QueryResult >::tableSizeMultiplier(), PLearn::tabulated_soft_slope(), PLearn::tabulated_softplus(), PLearn::tabulated_softplus_primitive(), PLearn::tanh(), PLearn::TestDependencyCommand::TestDependencyCommand(), PLearn::testSpearmanRankCorrelation(), PLearn::testSpearmanRankCorrelationPValues(), PLearn::RowIterator::toDouble(), PLearn::toIndexedObjectPtr(), PLearn::toObjectPtr(), PLearn::tostring(), PLearn::RowIterator::toString(), PLearn::GhostScript::translate(), PLearn::two(), PLearn::ultrafastsigmoid(), PLearn::ultrafasttanh(), PLearn::VecStatsCollector::update(), PLearn::update(), PLearn::LiftStatsCollector::update(), PLearn::updateAndClearCounts(), PLearn::ConditionalDistribution::use(), PLearn::viewVMat(), PLearn::weightedLinearRegression(), PLearn::write_sbyte(), PLearn::write_ubyte(), PLearn::PStream::writeAsciiHexNum(), PLearn::PStream::writeAsciiNum(), and PLearn::writeField(). |
1.3.7