Source code for nvflare.app_opt.xgboost.histogram_based_v2.runner

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# Licensed under the Apache License, Version 2.0 (the "License");
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#     http://www.apache.org/licenses/LICENSE-2.0
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from abc import ABC, abstractmethod
from typing import Tuple

from nvflare.apis.fl_context import FLContext


[docs]class XGBRunner(ABC): """An XGBRunner implements XGB (server or client) processing logic."""
[docs] def initialize(self, fl_ctx: FLContext): """Initializes the runner. This happens when the job is about to start. Args: fl_ctx: FL context Returns: None """ pass
[docs] @abstractmethod def run(self, ctx: dict): """Runs XGB processing logic. Args: ctx: the contextual info to help the runner execution Returns: None """ pass
[docs] @abstractmethod def stop(self): """Stops the runner. Returns: None """ pass
[docs] @abstractmethod def is_stopped(self) -> Tuple[bool, int]: """Checks whether the runner is already stopped. Returns: A tuple of (whether the runner is stopped, exit code) """ pass