pyod

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consistency in pyod algorithm's predictions

3

hi, i am using suod as a wrapper to pyod to be used for tabular anomaly detection. i am running the below algorithms. the problem is that for test reasons...

yairVanti

About ```KNN``` method parameter ```p```

4

I am using [pyod.models.knn](https://pyod.readthedocs.io/en/latest/_modules/pyod/models/knn.html). and I have an issue when I change ```p```(Parameter for the Minkowski metric). In some cases(When I use different feature subsets), All results(ex : 'anomaly_scores' and...

jskim0406

ALAD method implemented

2

Implemented the ALAD method paper: https://arxiv.org/pdf/1812.02288.pdf ### All Submissions Basics: * [x] Have you followed the guidelines in our Contributing document? * [x] Have you checked to ensure there aren't...

mbongaerts

[Question] Which algorithm to use for unsupervised image outlier detection

1

The project I am working on is exactly as described under "1. Unsupervised Outlier Detection" on the pyod website (https://pyod.readthedocs.io/en/latest/relevant_knowledge.html). I have tried to figure out which algorithm would be...

Bennievdbuurt

ECOD behavior on new data

4

Hi, after using ECOD algorithm as a part of my research, similarly to issue [#401](https://github.com/yzhao062/pyod/issues/401) I believe current behavior of ECOD is really unintuitive. I believe that any person using...

wawrzenczyka

NaNs in ABOD and INNE

3

Hello, Thanks for the brilliant work on PyOD. I am using the SUOD framework made from an ensemble of ODs (OCSVM, LOF and INNE). However, in some of my use...

madarax64

ECOD and COPOD `explain_outlier` on new data?

1

Hi there, Really like the python package, have been using it for a while. I was wondering if it was possible for `explain_outlier` method in ECOD and COPOD to be...

romanovzky

How can I save a pyod model?

13

I've just trained a auto-encoder model, and I wonder how can I save the model so that I don't need to train it again next time I want it. I...

singyaowu

some PyOD models will fail while being used with SUOD

1

The reason is sklearn.clone will lead to issues if the hyperparameters are not well used. Problem can be reproduced by cloning models: This includes: * COD

yzhao062

Autoencoder learning rate

5

For the autoencoder in pyod, how do I adjust the learning rate?

msho-nb