TaskTimer

class lightautoml.utils.timer.TaskTimer(pipe_timer, key=None, score=1.0, overhead=1, mode=1, default_tuner_time_rate=0.7)[source]

Timer is used to control time over single ML task run.

It decides how much time is ok to spend on tuner and if we have enough time to calc more folds.

property in_progress

Check if the task is running.

__init__(pipe_timer, key=None, score=1.0, overhead=1, mode=1, default_tuner_time_rate=0.7)[source]

Parameters

pipe_timer (PipelineTimer) – Global automl timer.
key (Optional[str]) – String name that will be associated with this task.
score (float) – Time score for current task. For ex. if you want to give more of total time to task set it > 1.
overhead (Optional[float]) – See overhead of PipelineTimer.
mode (int) – See mode for PipelineTimer.
default_tuner_time_rate (float) – If no timing history for the moment of estimating tuning time, timer will use this rate of time_left.

Starts counting down.

set_control_point()[source]

Set control point.

Updates the countdown and time left parameters.

get_run_results()[source]

Get timer history.

get_run_scores()[source]

Get timer scores.

estimate_folds_time(n_folds=1)[source]

Estimate time for n_folds.

estimate_tuner_time(n_folds=1)[source]

Estimates time that is ok to spend on tuner.

time_limit_exceeded()[source]

Estimate time limit and send results to parent timer.

split_timer(n_parts)[source]

Split the timer into equal-sized tasks.