py_algorithm_info

class py_algorithm_info.AlgorithmInfo

init(arg2: SupportedAlgorithms)

add_signal_info(signal: str name, abscissa: list)

Add new signal info by name and abscissa values. Skip if signal info is already present.

add_signal_info_y_data(signal: str name, channel: str name, data: str name, data: str part name, channel: list values)

Add new channel values to an existing signal info.

clear_signal_info()

Clear all existing signal information.

get_mop3_info() → MOP3Info

Returns detailed MOP3 info if present.

get_mop_info() → MOPInfo

Returns detailed MOP info if present.

get_seed_value() → int

Returns the given seed value for the processed algorithm.

get_signal_info_channel_names(signal: str name) → WStrList

Get a list of channel names for given signal info name

get_signal_info_data_names(signal: str name, channel: str name) → WStrList

Get a list of data names for given signal info name and channel name

get_signal_info_signal_names() → WStrList

Get a list of signal info names

get_type() → SupportedAlgorithms

Returns the algorithm type.

has_best_design_infos() → bool

Returns whether the detailed info has iteration best design infos.

is_adaptive_mop_info() → bool

Returns whether the detailed info is of type AdaptiveMOP info.

is_deterministic_sampling() → bool

Returns whether the deterministic parameters were varied in this algorithm.

is_mop3_info() → bool

Returns whether the detailed info is of type MOP3 info.

is_mop_info() → bool

Returns whether the detailed info is of type MOP info.

is_optimization_info() → bool

Returns whether the detailed info is of type Optimization info.

is_reliability_info() → bool

Returns whether the detailed info is of type Reliability info.

is_robustness_info() → bool

Returns whether the detailed info is of type Robustness info.

is_sensitivity_info() → bool

Returns whether the detailed info is of type Sensitivity info.

is_stochastic_sampling() → bool

Returns whether the stochastic parameters were varied in this algorithm.

class py_algorithm_info.DetailedAlgorithmInfo

init()

Raises an exception This class cannot be instantiated from Python

class py_algorithm_info.MOP3Info

init()

property mop3_configuration

Configuration file (string) for MOP3.

property mop3_design_ids

Design IDs (string list/id vector) for MOP3.

property mop3_parameter_manager

Parameter Manager (parameter_manager) for MOP3.

property mop3_responses

Response Matrix (tmath::Matrix/Eigen::Matrix) for MOP3.

property mop3_sdb

Sdb file (string) for MOP3.

property mop3_support_points

Support Point Matrix (tmath::Matrix/Eigen::Matrix) for MOP3.

class py_algorithm_info.MOPInfo

init()

Raises an exception This class cannot be instantiated from Python

has_cv_values() → bool

Returns whether cross validation values are present.