MLLIB::MLTrainer Class Reference

Launches Python training scripts via UTILSLIB::PythonRunner with automatic venv handling and prerequisite checks. More...

#include <ml_trainer.h>

Public Member Functions
	MLTrainer ()
	MLTrainer (const UTILSLIB::PythonRunnerConfig &config)
UTILSLIB::PythonRunner &	runner ()
UTILSLIB::PythonRunnerResult	run (const QString &scriptPath, const QStringList &args={})
QStringList	checkPrerequisites (const QStringList &packages) const

Detailed Description

Launches Python training scripts via UTILSLIB::PythonRunner with automatic venv handling and prerequisite checks.

Training logic (PyTorch, scikit-learn, MNE-Python, …) lives entirely in the .py scripts under scripts/ml/training/ and runs in a child process; no Python embedding or libpython linkage is required. If the configured UTILSLIB::PythonRunnerConfig carries a venvDir, the runner creates and updates the venv before each script invocation so dependencies are pinned per training job.

Definition at line 68 of file ml_trainer.h.

Constructor & Destructor Documentation

MLTrainer() [1/2]

MLTrainer::MLTrainer

(

)

Construct an MLTrainer with default PythonRunner configuration.

Definition at line 54 of file ml_trainer.cpp.

MLTrainer() [2/2]

MLTrainer::MLTrainer ( const UTILSLIB::PythonRunnerConfig & config )

explicit

Construct an MLTrainer with explicit PythonRunner configuration.

Parameters

[in]

config

PythonRunner configuration to use.

Definition at line 61 of file ml_trainer.cpp.

Member Function Documentation

checkPrerequisites()

QStringList MLTrainer::checkPrerequisites

(

const QStringList &

packages

)

const

Check that the required Python packages are importable.

Parameters

[in]

packages

List of package names (e.g. {"torch", "mne"}).

Returns

List of packages that could NOT be imported (empty = all OK).

Definition at line 97 of file ml_trainer.cpp.

run()

PythonRunnerResult MLTrainer::run	(	const QString &	scriptPath,
		const QStringList &	args = {} )

Run a training script.

If the PythonRunner is configured with a venvDir and packageDir, the venv is created/updated automatically before the script runs.

Parameters

[in]	scriptPath	Path to the .py training script.
[in]	args	Arguments forwarded to the script.

Returns

PythonRunnerResult with exit code, output, and progress.

Definition at line 75 of file ml_trainer.cpp.

runner()

PythonRunner & MLTrainer::runner

(

)

Access the underlying PythonRunner for callback/config changes.

Returns

Reference to the PythonRunner instance.

Definition at line 68 of file ml_trainer.cpp.

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The documentation for this class was generated from the following files:

• src/libraries/ml/ml_trainer.h
• src/libraries/ml/ml_trainer.cpp