mlbackend_python\processor Member List

This is the complete list of members for mlbackend_python\processor, including all inherited members.

$host	mlbackend_python\processor	protected
$password	mlbackend_python\processor	protected
$pathtopython	mlbackend_python\processor	protected
$port	mlbackend_python\processor	protected
$secure	mlbackend_python\processor	protected
$username	mlbackend_python\processor	protected
$useserver	mlbackend_python\processor	protected
__construct()	mlbackend_python\processor
add_extra_result_info(\stdClass $resultobj)	mlbackend_python\processor	protected
check_pip_package_version($actual, $required=self::REQUIRED_PIP_PACKAGE_VERSION)	mlbackend_python\processor	static
classify($uniqueid, stored_file $dataset, $outputdir)	mlbackend_python\processor
clear_model($uniqueid, $modelversionoutputdir)	mlbackend_python\processor
delete_output_dir($modeloutputdir, $uniqueid)	mlbackend_python\processor
estimate($uniqueid, stored_file $dataset, $outputdir)	mlbackend_python\processor
evaluate_classification($uniqueid, $maxdeviation, $niterations, stored_file $dataset, $outputdir, $trainedmodeldir)	mlbackend_python\processor
evaluate_regression($uniqueid, $maxdeviation, $niterations, stored_file $dataset, $outputdir, $trainedmodeldir)	mlbackend_python\processor
exec_command(string $modulename, array $params, string $errorlangstr)	mlbackend_python\processor	protected
export(string $uniqueid, string $modeldir)	mlbackend_python\processor
get_file_path(\stored_file $file)	mlbackend_python\processor	protected
import(string $uniqueid, string $modeldir, string $importdir)	mlbackend_python\processor
is_python_server_ready()	mlbackend_python\processor	protected
is_ready()	mlbackend_python\processor
is_webserver_ready()	mlbackend_python\processor	protected
REQUIRED_PIP_PACKAGE_VERSION	mlbackend_python\processor
server_request($url, string $method, array $requestparams, ?array $options=null)	mlbackend_python\processor	protected
train_classification($uniqueid, stored_file $dataset, $outputdir)	mlbackend_python\processor
train_regression($uniqueid, stored_file $dataset, $outputdir)	mlbackend_python\processor