Comments (8)
Try:
from luminol import anomaly_detector
detector = anomaly_detector.AnomalyDetector(ts)
from luminol.
I tried
from luminol import anomaly_detector
I got
ImportError: No module named 'exp_avg_detector'
Running Windows with Python 3.5.2 | Anaconda 4.2.0
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Sorry just saw elsewhere I might need to try Python 2.7 to fix
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Yeah 2.7 works a charm in an Anaconda virtual environment
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This should be resolved with #28
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I have same problem. I tried to run it on Python 2.7 but didnt work. I tried on azure notebook didnt work. I tried on Python 3.6 didnt work. Everytime same issue:
AttributeError: 'module' object has no attribute 'anomaly_detector'
and i realized that when i wanted to install package it showed me deprecation.
Collecting luminol
Downloading luminol-0.4-py2.py3-none-any.whl
Requirement already satisfied: scipy in /home/nbuser/anaconda2_501/lib/python2.7/site-packages (from luminol)
Requirement already satisfied: numpy in /home/nbuser/anaconda2_501/lib/python2.7/site-packages (from luminol)
Collecting future==0.16.0 (from luminol)
Downloading future-0.16.0.tar.gz (824kB)
100% |████████████████████████████████| 829kB 258kB/s eta 0:00:01
Building wheels for collected packages: future
Running setup.py bdist_wheel for future ... done
Stored in directory: /home/nbuser/.cache/pip/wheels/c2/50/7c/0d83b4baac4f63ff7a765bd16390d2ab43c93587fac9d6017a
Successfully built future
Installing collected packages: future, luminol
Found existing installation: future 0.15.2
DEPRECATION: Uninstalling a distutils installed project (future) has been deprecated and will be removed in a future version. This is due to the fact that uninstalling a distutils project will only partially uninstall the project.
Uninstalling future-0.15.2:
Successfully uninstalled future-0.15.2
Successfully installed future-0.16.0 luminol-0.4
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well,I meet this issue too,python 2.7.13
/usr/local/python-2.7.13/bin/python
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centos 6.5 64
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Related Issues (20)
- incorrect normalize method
- Citing luminol HOT 1
- multivariate time series HOT 1
- Timestamp format HOT 3
- Refined vs unrefined anomaly? HOT 1
- Exemple Run HOT 1
- the anomaly detection of the cyclical fluctuation HOT 1
- Data with multiple columns/features HOT 1
- Cross Correlation question
- 0.0 Anomaly Score for larger dataSet-bitmap_detector
- Regressing / smoothing input time-series based on anomalies
- without pip install, can I use it?
- Installation error in Alpine
- Materials to read about anomaly detection HOT 1
- Package Definition
- error in diff_percent_threshold.py
- Warn user on automatic modify of algorithm or parameters
- Streaming Data
- Where are the affiliation metrics?
- Latest fix/release is not published to pip HOT 1
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