causalexplain.gui.tabs package

Submodules

Diagnostics tab for ReX per-regressor internals.

class DiagnosticsTab(ui, run, storage, settings, active_model_state)

Bases: object

Build and manage the Diagnostics tab.

__init__(ui, run, storage, settings, active_model_state)

Initialize the diagnostics tab with shared GUI state.

build()

Render the diagnostics tab.

refresh_from_state()

Reload diagnostics from the active shared model state.

Dataset generation tab for the causalexplain GUI.

class GenerateTab(ui, run, storage, settings, notify)

Bases: object

Build and manage the Generate Dataset tab.

__init__(ui, run, storage, settings, notify)

Initialize the generate tab with shared GUI dependencies.

build()

Render the Generate Dataset tab UI.

async run_generate()

Generate a dataset and update UI widgets.

async run_save_generated()

Save the generated dataset to disk.

Load/evaluate tab for the causalexplain GUI.

class LoadTab(ui, run, storage, settings, upload_dir, active_model_state)

Bases: object

Build and manage the Load + Evaluate tab.

__init__(ui, run, storage, settings, upload_dir, active_model_state)

Initialize the load tab with shared GUI dependencies.

build()

Render the Load + Evaluate tab UI.

async run_load()

Load a model and refresh the UI.

Training tab for the causalexplain GUI.

class TrainTab(ui, run, storage, settings, upload_dir, active_model_state)

Bases: object

Build and manage the Train Model tab.

__init__(ui, run, storage, settings, upload_dir, active_model_state)

Initialize the train tab with shared GUI dependencies.

build()

Render the Train Model tab UI.

async run_training()

Execute training and update UI elements.

start_training_task()

Launch the training coroutine.

cancel_training_task()

Request cancellation of the running training job.

async save_trained_model()

Persist the trained model to disk.

async save_trained_dag()

Persist the trained DAG to disk.

Module contents

Tab builders for the causalexplain GUI.

class TrainTab(ui, run, storage, settings, upload_dir, active_model_state)

Bases: object

Build and manage the Train Model tab.

__init__(ui, run, storage, settings, upload_dir, active_model_state)

Initialize the train tab with shared GUI dependencies.

build()

Render the Train Model tab UI.

async run_training()

Execute training and update UI elements.

start_training_task()

Launch the training coroutine.

cancel_training_task()

Request cancellation of the running training job.

async save_trained_model()

Persist the trained model to disk.

async save_trained_dag()

Persist the trained DAG to disk.

class LoadTab(ui, run, storage, settings, upload_dir, active_model_state)

Bases: object

Build and manage the Load + Evaluate tab.

__init__(ui, run, storage, settings, upload_dir, active_model_state)

Initialize the load tab with shared GUI dependencies.

build()

Render the Load + Evaluate tab UI.

async run_load()

Load a model and refresh the UI.

class GenerateTab(ui, run, storage, settings, notify)

Bases: object

Build and manage the Generate Dataset tab.

__init__(ui, run, storage, settings, notify)

Initialize the generate tab with shared GUI dependencies.

build()

Render the Generate Dataset tab UI.

async run_generate()

Generate a dataset and update UI widgets.

async run_save_generated()

Save the generated dataset to disk.

class DiagnosticsTab(ui, run, storage, settings, active_model_state)

Bases: object

Build and manage the Diagnostics tab.

__init__(ui, run, storage, settings, active_model_state)

Initialize the diagnostics tab with shared GUI state.

build()

Render the diagnostics tab.

refresh_from_state()

Reload diagnostics from the active shared model state.