yzhao062/pyod

callbacks in autoencoder

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#150 opened on Dec 16, 2019

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enhancementgood first issuehelp wanted

Description

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.

Contributor guide

Tech stack
pythontensorflow
Domain
datamachine learning
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
clear
Prerequisites
Knowledge of Keras callbacksFamiliarity with pyod Autoencoder modelBasic Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40
Research direction
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.