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Your open source project is as good as its documentation
Arkadiusz Kondas (or maybe it's somewhere I heard)

This can help to #318

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: fi

When running the ExhaustiveFeatureSelector, it is not unusual that an extraordinary large number of results get collected (due to the many combinations to evaluate). Some users reported that this leads to memory issues when calling the get_metric_dict() method that constructs a DataFrame containing the results.

Thus, it would be good to add a parameter like "topn" for the `get_metric_dict()

Per discussion in #3032

The openpsi README.md describes a version of openpsi that no longer exists. It's inaccurate in 120 different ways ... I recognize it, as something that I wrote long ago. As far as I know, there is no adequate documentation for openpsi that

-- explains what it is
-- explains how it works; this includes a review of all of the major components, including control, de

imresize is no longer provided by scipy. If the intention is to support 1.3.0 and above, I suggest to switch to Pillow or something else.