https://github.com/devparihar5/outlyzer
Outlyzer is a Python library for outlier detection that offers various methods for identifying and visualizing outliers in datasets.
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (8.8%) to scientific vocabulary
Keywords
Repository
Outlyzer is a Python library for outlier detection that offers various methods for identifying and visualizing outliers in datasets.
Basic Info
- Host: GitHub
- Owner: Devparihar5
- License: other
- Language: Python
- Default Branch: main
- Homepage: https://pypi.org/project/Outlyzer
- Size: 83 KB
Statistics
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Outlyzer -A Python package to detect outliers in a dataset
Outlyzer is a Python library that provides various methods for detecting outliers in a dataset. It includes implementation of Z-score, IQR, and Mahalanobis distance methods for identifying outliers, as well as visualization-based methods using scatter plots, box plots, and other types of visualizations.
Installation
You can install Outlyzer using pip:
pip install outlyzer
Usage:
- Import the desired method from the library, e.g.:
from Outlyzer.zscore import detect_outliers_zscore
from Outlyzer.iqr import detect_outliers_iqr
- Pass your dataset or data series to the respective function, e.g.:
outliers_zscore = detect_outliers_zscore(data)
outliers_iqr = detect_outliers_iqr(data)
The functions will return a boolean array indicating whether each data point is an outlier (True) or not (False).
Owner
- Name: Devendra Parihar
- Login: Devparihar5
- Kind: user
- Location: Jodhpur
- Company: @kainskep
- Twitter: Devendr74154261
- Repositories: 48
- Profile: https://github.com/Devparihar5
Data Scientist at Kainskep | 3xKaggle Expert
GitHub Events
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Last Year
Committers
Last synced: over 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Devendra Parihar | 5****5 | 10 |
| Devendra Parihar | 5****v | 4 |
Issues and Pull Requests
Last synced: 6 months ago
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- Total pull requests: 1
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- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
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- Pull requests: 0
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- Issue authors: 0
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- Average comments per issue: 0
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- Bot issues: 0
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