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An End-to-end Outlier Detection System

License: MIT License

Python 99.69% Shell 0.31%
anomaly-detection outlier-detection time-series time-series-analysis deep-learning machine-learning database tdengine

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daochenzha avatar haifeng-jin avatar praveenvenugopal avatar pysods avatar yli96 avatar

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pyodds's Issues

Not one or two but a number of issues in the library

I wasted my two days in making the library work. Firstly, the installation downgraded my Tensorflow 2.4.0 to 2.0 Beta. Obviously, the library has just too many bugs that need to be corrected. I would rather suggest to use the algorithms directly through the class files rather than using them as prescribed in the research paper.
There are gaps in the code vs explanation in the research paper.
In short, please do not put in half baked code as people start with trust that the code is going to work. Also, it should not fiddle with the base packages of Python during installation.

demo.py

When I run demo.py in the terminal, the terminal asks me to enter my password. What does this mean?

LSTM-AD/LSTM-ED input-size documentation

Is there any guidance on the minimum input size for LSTM-AD and LSTM-ED? - except for digging through code and calculating it by hand, that is of course.

I have found that LSTM-AD requires 40 datapoints minimum.
LSTM-ED is still above this and I have settled at around 140.

Sliding window usage

Do you have any example using a sliding window for incremental learning? Is this possible? thanks. This package looks super cool byw.

Missing files in sdist

It appears that the manifest is missing at least one file necessary to build
from the sdist for version 1.0.0rc1. You're in good company, about 5% of other
projects updated in the last year are also missing files.

+ /tmp/venv/bin/pip3 wheel --no-binary pyodds -w /tmp/ext pyodds==1.0.0rc1
Looking in indexes: http://10.10.0.139:9191/root/pypi/+simple/
Collecting pyodds==1.0.0rc1
  Downloading http://10.10.0.139:9191/root/pypi/%2Bf/987/8cf3b9087dafd/pyodds-1.0.0rc1.tar.gz (37 kB)
    ERROR: Command errored out with exit status 1:
     command: /tmp/venv/bin/python3 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-wheel-kvsisbl_/pyodds/setup.py'"'"'; __file__='"'"'/tmp/pip-wheel-kvsisbl_/pyodds/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-wheel-kvsisbl_/pyodds/pip-egg-info
         cwd: /tmp/pip-wheel-kvsisbl_/pyodds/
    Complete output (5 lines):
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-wheel-kvsisbl_/pyodds/setup.py", line 8, in <module>
        with open('requirements.txt') as f:
    FileNotFoundError: [Errno 2] No such file or directory: 'requirements.txt'
    ----------------------------------------
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

Inconsistent API for timeseries?

I noticed that when using luminol the first column is taken as the timestamp. However when using lstm based approaches, I do not notice such a case? Perhaps the docs could be clearer.

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