MLLIB Namespace Reference

Tensors, model abstraction, ONNX Runtime inference and Python training drivers used across mne-cpp. More...

Classes
class	MlModel
	Backend-agnostic inference interface: load, predict, save plus model/task descriptors. More...
class	MlOnnxModel
	MlModel backend that runs .onnx graphs through ONNX Runtime with a cached CPU session. More...
class	MlTensor
	N-dimensional row-major float32 tensor with shared-buffer storage, Eigen Map accessors and a non-owning view mode. More...
class	MLTrainer
	Launches Python training scripts via UTILSLIB::PythonRunner with automatic venv handling and prerequisite checks. More...

Enumerations
enum class	MlBackend { OnnxRuntime , BuiltIn }
enum class	MlDataType { Float32 , Float64 , Int64 }
enum class	MlTaskType { Classification , Regression , FeatureExtraction }

Functions
MLSHARED_EXPORT const char *	buildDateTime ()
MLSHARED_EXPORT const char *	buildHash ()
MLSHARED_EXPORT const char *	buildHashLong ()

Detailed Description

Tensors, model abstraction, ONNX Runtime inference and Python training drivers used across mne-cpp.

Enumeration Type Documentation

MlBackend

enum class MLLIB::MlBackend

strong

Available ML back-end engines.

Enumerator
OnnxRuntime
BuiltIn

Definition at line 39 of file ml_types.h.

MlDataType

enum class MLLIB::MlDataType

strong

Supported data types for tensors.

Enumerator
Float32
Float64
Int64

Definition at line 45 of file ml_types.h.

MlTaskType

enum class MLLIB::MlTaskType

strong

ML task categories.

Enumerator
Classification
Regression
FeatureExtraction

Definition at line 51 of file ml_types.h.

Function Documentation

buildDateTime()

const char * MLLIB::buildDateTime

(

)

Returns build date and time.

Definition at line 30 of file ml_global.cpp.

buildHash()

const char * MLLIB::buildHash

(

)

Returns abbreviated build git hash.

Definition at line 34 of file ml_global.cpp.

buildHashLong()

const char * MLLIB::buildHashLong

(

)

Returns full build git hash.

Definition at line 38 of file ml_global.cpp.