pmlb | curated repository of benchmark datasets | Machine Learning library
kandi X-RAY | pmlb Summary
kandi X-RAY | pmlb Summary
pmlb is a Python library typically used in Artificial Intelligence, Machine Learning applications. pmlb has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
If you have an older version of PMLB, we highly recommend you upgrade it to v1.0 for updated URLs and names of datasets:.
If you have an older version of PMLB, we highly recommend you upgrade it to v1.0 for updated URLs and names of datasets:.
Support
Quality
Security
License
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Support
pmlb has a low active ecosystem.
It has 713 star(s) with 119 fork(s). There are 28 watchers for this library.
It had no major release in the last 12 months.
There are 13 open issues and 45 have been closed. On average issues are closed in 166 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of pmlb is v1.0.2a
Quality
pmlb has no bugs reported.
Security
pmlb has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pmlb is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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pmlb releases are available to install and integrate.
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 pmlb and discovered the below as its top functions. This is intended to give you an instant insight into pmlb implemented functionality, and help decide if they suit your requirements.
- Get a list of reviewed datasets
- Return list of datasets to update
- Get all the updated datasets
- Return last commit message
- Make a profile from a dataset
- Fetches the data from pmLB
- Get the URL for a dataset
- Write README file
- Update metadata for a given dataset
- Generate metadata for a given dataset
- Generate summary statistics for a given dataset
- Compute the imbalance of the classification
- Get statistics for a given dataset
- Count the number of features in the given types
- Returns the feature type of x
- Return the target type of an array
- Return a list of datasets to generate
- Generate all summary stats
- Calculate pml version
Get all kandi verified functions for this library.
pmlb Key Features
No Key Features are available at this moment for pmlb.
pmlb Examples and Code Snippets
No Code Snippets are available at this moment for pmlb.
Community Discussions
Trending Discussions on pmlb
QUESTION
SQL query case when then in where clause
Asked 2019-Nov-27 at 13:52
I read a lot of similar questions but didn't find a solution for me. Basically I would like to have a where
clause (AND PEKP.VORGANGS_ART = 'BE'
) only if a special condition (PFSP.EINKAUFS_KZ = 2
) is true.
I tried in many ways like that:
...ANSWER
Answered 2019-Nov-27 at 12:55You probably want something like:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pmlb
You can download it from GitHub.
You can use pmlb 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 pmlb 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
See our Contributing Guide. We're looking for help with documentation, and also appreciate new dataset and functionality contributions.
Find more information at:
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