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PHP 8.4.0 RC2 available for testing
Getting Started
Introduction
A simple tutorial
Language Reference
Basic syntax
Types
Variables
Constants
Expressions
Operators
Control Structures
Functions
Classes and Objects
Namespaces
Enumerations
Errors
Exceptions
Fibers
Generators
Attributes
References Explained
Predefined Variables
Predefined Exceptions
Predefined Interfaces and Classes
Predefined Attributes
Context options and parameters
Supported Protocols and Wrappers
Security
Introduction
General considerations
Installed as CGI binary
Installed as an Apache module
Session Security
Filesystem Security
Database Security
Error Reporting
User Submitted Data
Hiding PHP
Keeping Current
Features
HTTP authentication with PHP
Cookies
Sessions
Handling file uploads
Using remote files
Connection handling
Persistent Database Connections
Command line usage
Garbage Collection
DTrace Dynamic Tracing
Function Reference
Affecting PHP's Behaviour
Audio Formats Manipulation
Authentication Services
Command Line Specific Extensions
Compression and Archive Extensions
Cryptography Extensions
Database Extensions
Date and Time Related Extensions
File System Related Extensions
Human Language and Character Encoding Support
Image Processing and Generation
Mail Related Extensions
Mathematical Extensions
Non-Text MIME Output
Process Control Extensions
Other Basic Extensions
Other Services
Search Engine Extensions
Server Specific Extensions
Session Extensions
Text Processing
Variable and Type Related Extensions
Web Services
Windows Only Extensions
XML Manipulation
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Support Vector Machine
Introduction
Installing/Configuring
Requirements
Installation
Examples
SVM
— The SVM class
SVM::__construct
— Construct a new SVM object
SVM::crossvalidate
— Test training params on subsets of the training data
SVM::getOptions
— Return the current training parameters
SVM::setOptions
— Set training parameters
SVM::train
— Create a SVMModel based on training data
SVMModel
— The SVMModel class
SVMModel::checkProbabilityModel
— Returns true if the model has probability information
SVMModel::__construct
— Construct a new SVMModel
SVMModel::getLabels
— Get the labels the model was trained on
SVMModel::getNrClass
— Returns the number of classes the model was trained with
SVMModel::getSvmType
— Get the SVM type the model was trained with
SVMModel::getSvrProbability
— Get the sigma value for regression types
SVMModel::load
— Load a saved SVM Model
SVMModel::predict
— Predict a value for previously unseen data
SVMModel::predict_probability
— Return class probabilities for previous unseen data
SVMModel::save
— Save a model to a file
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