LSHUniqueEntityEstimator | unique entity estimation algorithm is way
kandi X-RAY | LSHUniqueEntityEstimator Summary
kandi X-RAY | LSHUniqueEntityEstimator Summary
LSHUniqueEntityEstimator is a Python library. LSHUniqueEntityEstimator has no bugs, it has no vulnerabilities, it has build file available and it has low support. However LSHUniqueEntityEstimator has a Non-SPDX License. You can download it from GitHub.
the unique entity estimation algorithm is a way of tackling a sub-task of entity resolution (record linkage or de-duplication), namely unique estimation with associated standard error of these estimates. unique entity estimation shares many fundamental challenges of entity resolution, namely, that the computational cost of all-to-all entity comparisons is intractable for large databases. to circumvent this computational barrier, we propose an efficient (near-linear time) estimation algorithm based on locality sensitive hashing (lsh). our estimator, under realistic assumptions, is unbiased and has provably low variance compared to existing random sampling based approaches. in addition, we empirically show its superiority over the state-of-the-art estimators on three real applications. we also apply our estimator to a subset of the syrian conflict (march 2011 -- april 2014), where our results are very
the unique entity estimation algorithm is a way of tackling a sub-task of entity resolution (record linkage or de-duplication), namely unique estimation with associated standard error of these estimates. unique entity estimation shares many fundamental challenges of entity resolution, namely, that the computational cost of all-to-all entity comparisons is intractable for large databases. to circumvent this computational barrier, we propose an efficient (near-linear time) estimation algorithm based on locality sensitive hashing (lsh). our estimator, under realistic assumptions, is unbiased and has provably low variance compared to existing random sampling based approaches. in addition, we empirically show its superiority over the state-of-the-art estimators on three real applications. we also apply our estimator to a subset of the syrian conflict (march 2011 -- april 2014), where our results are very
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LSHUniqueEntityEstimator has a low active ecosystem.
It has 6 star(s) with 4 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 0 have been closed. On average issues are closed in 719 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of LSHUniqueEntityEstimator is current.
Quality
LSHUniqueEntityEstimator has no bugs reported.
Security
LSHUniqueEntityEstimator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
LSHUniqueEntityEstimator has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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LSHUniqueEntityEstimator releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed LSHUniqueEntityEstimator and discovered the below as its top functions. This is intended to give you an instant insight into LSHUniqueEntityEstimator implemented functionality, and help decide if they suit your requirements.
- Check if lst is connected
- Check if l is connected
- Unite two nodes
- Returns True if i and j is the same as i e i i e i i e the same as i e i e i e
- Parses the data into a dictionary
- Calculate the score between two tags
- Return a dictionary containing the sizes of each group
- Finds the node with i
- Generate cluster metadata
- List of groups in the tree
Get all kandi verified functions for this library.
LSHUniqueEntityEstimator Key Features
No Key Features are available at this moment for LSHUniqueEntityEstimator.
LSHUniqueEntityEstimator Examples and Code Snippets
No Code Snippets are available at this moment for LSHUniqueEntityEstimator.
Community Discussions
No Community Discussions are available at this moment for LSHUniqueEntityEstimator.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install LSHUniqueEntityEstimator
You can download it from GitHub.
You can use LSHUniqueEntityEstimator like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use LSHUniqueEntityEstimator like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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