MLLIB Namespace Reference

Machine learning (models, pipelines, ONNX Runtime integration). More...

Classes
class	MlLinearModel
	Ridge regression / logistic regression built-in model. More...
class	MlModel
	Abstract interface for all ML models. More...
class	MlOnnxModel
	ONNX Runtime backed model. More...
class	MlPipeline
	Simple scaler → model pipeline. More...
class	MlScaler
	Feature scaler (StandardScaler or MinMaxScaler). More...
class	MlTensor
	N-dimensional tensor with contiguous row-major (C-order) float32 storage. More...
class	MLTrainer
	ML training script launcher. 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

Machine learning (models, pipelines, ONNX Runtime integration).

Enumeration Type Documentation

MlBackend

enum class MLLIB::MlBackend

strong

Available ML back-end engines.

Enumerator
OnnxRuntime
BuiltIn

Definition at line 48 of file ml_types.h.

MlDataType

enum class MLLIB::MlDataType

strong

Supported data types for tensors.

Enumerator
Float32
Float64
Int64

Definition at line 54 of file ml_types.h.

MlTaskType

enum class MLLIB::MlTaskType

strong

ML task categories.

Enumerator
Classification
Regression
FeatureExtraction

Definition at line 60 of file ml_types.h.

Function Documentation

buildDateTime()

const char * MLLIB::buildDateTime

(

)

Returns build date and time.

Definition at line 45 of file ml_global.cpp.

buildHash()

const char * MLLIB::buildHash

(

)

Returns abbreviated build git hash.

Definition at line 49 of file ml_global.cpp.

buildHashLong()

const char * MLLIB::buildHashLong

(

)

Returns full build git hash.

Definition at line 53 of file ml_global.cpp.