yzhao062/pyod

Cannot save AutoEncoder

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#256 创建于 2020年12月6日

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 (6 评论) (1 反应) (1 负责人)Python (7,762 star) (1,308 fork)batch import
buggood first issuehelp wanted

描述

The official instructions say to use joblib for pickling PyOD models.

This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:

>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects

Note that it's not sufficient to save the underlying Keras Sequential model, since I need the methods & variables of BaseDetector (like .decision_scores_ or .decision_function().

贡献者指南

技术栈
python
领域
machine learning
议题类型
bug
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
half day
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
PythonTensorFlowjoblib
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
Investigate the AutoEncoder class in pyod/models/auto encoder.py. The error occurs because TensorFlow models contain non picklable objects. Consider implementing a custom save method that saves the Keras model weights and the detector's decision scores separately, then restores them on load. Check the existing model persistence documentation and any previous discussions in issue #256 for suggested approaches.