yzhao062/pyod

callbacks in autoencoder

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#150 创建于 2019年12月16日

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 (6 评论) (0 反应) (0 负责人)Python (7,762 star) (1,308 fork)batch import
enhancementgood first issuehelp wanted

描述

How can i implement callback parameter in fit moder Autoencoder ? There is not parameter.

from keras.callbacks.callbacks import EarlyStopping cb_earlystop = EarlyStopping(monitor='val_loss', min_delta=0, patience=0, verbose=0, mode='auto', baseline=None, restore_best_weights=False) pyod_model.fit(scaler, callbacks=[cb_earlystop])

TypeError: fit() got an unexpected keyword argument 'callbacks'

Can you implement this parameter? Its very usefull for monitor, early stop and another cases.

贡献者指南

技术栈
pythontensorflow
领域
datamachine learning
议题类型
feature
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3
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clear
前置要求
Knowledge of Keras callbacksFamiliarity with pyod Autoencoder modelBasic Python
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40
研究方向
Investigate the current `fit` method in the Autoencoder class in pyod. The user expects to pass a list of callbacks similar to Keras' `fit` method. Look at the Autoencoder implementation in the repository, likely at `pyod/models/auto encoder.py`, and understand how the training loop works. Then add a `callbacks` parameter that passes callbacks to the underlying Keras model's `fit` method during training.