cairooperator(3) [php man page]

CAIROOPERATOR(3)							 1							  CAIROOPERATOR(3)

The CairoOperator class

INTRODUCTION

	This is used to set the compositing operator for all cairo drawing operations.

	The default operator is CairoOperator::OVER

	The  operators marked as unbounded modify their destination even outside of the mask layer (that is, their effect is not bound by the mask
       layer). However, their effect can still be limited by way of clipping.

	To keep things simple, the operator descriptions here document the behavior for when both source and destination are either  fully  trans-
       parent  or fully opaque. The actual implementation works for translucent layers too. For a more detailed explanation of the effects of each
       operator, including the mathematical definitions, see http://cairographics.org/operators/.

CLASS SYNOPSIS

       CairoOperator

       CairoOperator

       Constants

       o const integer$CairoOperator::CLEAR0

       o const integer$CairoOperator::SOURCE1

       o const integer$CairoOperator::OVER2

       o const integer$CairoOperator::IN3

       o const integer$CairoOperator::OUT4

       o const integer$CairoOperator::ATOP5

       o const integer$CairoOperator::DEST6

       o const integer$CairoOperator::DEST_OVER7

       o const integer$CairoOperator::DEST_IN8

       o const integer$CairoOperator::DEST_OUT9

       o const integer$CairoOperator::DEST_ATOP10

       o const integer$CairoOperator::XOR11

       o const integer$CairoOperator::ADD12

       o const integer$CairoOperator::SATURATE13

PREDEFINED CONSTANTS

	      o CairoOperator::CLEAR -Clear destination layer (bounded)

	      o CairoOperator::SOURCE -Replace destination layer (bounded)

	      o CairoOperator::OVER -Draw source layer on top of destination layer (bounded)

	      o CairoOperator::IN -Draw source where there was destination content (unbounded)

	      o CairoOperator::OUT -Draw source where there was no destination content (unbounded)

	      o CairoOperator::ATOP -Draw source on top of destination content and only there

	      o CairoOperator::DEST -Ignore the source

	      o CairoOperator::DEST_OVER -Draw destination on top of source

	      o CairoOperator::DEST_IN -Leave destination only where there was source content (unbounded)

	      o CairoOperator::DEST_OUT -Leave destination only where there was no source content

	      o CairoOperator::DEST_ATOP -Leave destination on top of source content and only there (unbounded)

	      o CairoOperator::XOR -Source and destination are shown where there is only one of them

	      o CairoOperator::ADD -Source and destination layers are accumulated

	      o CairoOperator::SATURATE -Like CairoOperator::OVER, but assuming source and dest are disjoint geometries

PHP Documentation Group 													  CAIROOPERATOR(3)

SVM(3)									 1								    SVM(3)

The SVM class

INTRODUCTION

CLASS SYNOPSIS

       SVM

       SVM

       Constants

       o const integer$SVM::C_SVC0

       o const integer$SVM::NU_SVC1

       o const integer$SVM::ONE_CLASS2

       o const integer$SVM::EPSILON_SVR3

       o const integer$SVM::NU_SVR4

       o const integer$SVM::KERNEL_LINEAR0

       o const integer$SVM::KERNEL_POLY1

       o const integer$SVM::KERNEL_RBF2

       o const integer$SVM::KERNEL_SIGMOID3

       o const integer$SVM::KERNEL_PRECOMPUTED4

       o const integer$SVM::OPT_TYPE101

       o const integer$SVM::OPT_KERNEL_TYPE102

       o const integer$SVM::OPT_DEGREE103

       o const integer$SVM::OPT_SHRINKING104

       o const integer$SVM::OPT_PROPABILITY105

       o const integer$SVM::OPT_GAMMA201

       o const integer$SVM::OPT_NU202

       o const integer$SVM::OPT_EPS203

       o const integer$SVM::OPT_P204

       o const integer$SVM::OPT_COEF_ZERO205

       o const integer$SVM::OPT_C206

       o const integer$SVM::OPT_CACHE_SIZE207

       Methods

       o public SVM::__construct (void	)

       o public float svm::crossvalidate (array  $problem, int	$number_of_folds)

       o public array SVM::getOptions (void  )

       o public bool SVM::setOptions (array  $params)

       o public SVMModel svm::train (array  $problem, [array  $weights])

PREDEFINED CONSTANTS

SVM CONSTANTS

	      o SVM::C_SVC -The basic C_SVC SVM type. The default, and a good starting point

	      o SVM::NU_SVC -The NU_SVC type uses a different, more flexible, error weighting

	      o SVM::ONE_CLASS -One class SVM type. Train just on a single class, using outliers as negative examples

	      o SVM::EPSILON_SVR -A SVM type for regression (predicting a value rather than just a class)

	      o SVM::NU_SVR -A NU style SVM regression type

	      o SVM::KERNEL_LINEAR -A very simple kernel, can work well on large document classification problems

	      o SVM::KERNEL_POLY -A polynomial kernel

	      o SVM::KERNEL_RBF -The common Gaussian RBD kernel. Handles non-linear problems well and is a good default for classification

	      o SVM::KERNEL_SIGMOID  -A  kernel  based on the sigmoid function. Using this makes the SVM very similar to a two layer sigmoid based
		neural network

	      o SVM::KERNEL_PRECOMPUTED -A precomputed kernel - currently unsupported.

	      o SVM::OPT_TYPE -The options key for the SVM type

	      o SVM::OPT_KERNEL_TYPE -The options key for the kernel type

	      o SVM::OPT_DEGREE -

	      o SVM::OPT_SHRINKING -Training parameter, boolean, for whether to use the shrinking heuristics

	      o SVM::OPT_PROBABILITY -Training parameter, boolean, for whether to collect and use probability estimates

	      o SVM::OPT_GAMMA -Algorithm parameter for Poly, RBF and Sigmoid kernel types.

	      o SVM::OPT_NU -The option key for the nu parameter, only used in the NU_ SVM types

	      o SVM::OPT_EPS -The option key for the Epsilon parameter, used in epsilon regression

	      o SVM::OPT_P -Training parameter used by Episilon SVR regression

	      o SVM::OPT_COEF_ZERO -Algorithm parameter for poly and sigmoid kernels

	      o SVM::OPT_C -The option for the cost parameter that controls tradeoff between errors and generality - effectively the  penalty  for
		misclassifying training examples.

	      o SVM::OPT_CACHE_SIZE -Memory cache size, in MB

PHP Documentation Group 														    SVM(3)