kandi X-RAY | ATEC Summary
kandi X-RAY | ATEC Summary
ATEC is a Python library. ATEC has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ATEC build file is not available. You can download it from GitHub.
ATEC蚂蚁开发者大赛
ATEC蚂蚁开发者大赛
Support
Quality
Security
License
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Support
ATEC has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
ATEC has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ATEC is current.
Quality
ATEC has no bugs reported.
Security
ATEC has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ATEC is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
ATEC releases are not available. You will need to build from source code and install.
ATEC has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed ATEC and discovered the below as its top functions. This is intended to give you an instant insight into ATEC implemented functionality, and help decide if they suit your requirements.
- Calculate weighted word2vec features
- Compute the Levenshtein distance between two sequences
- Compute the jaccard similarity between two sequences
- Calculates the word2vec vector for the given text
- Calculate the word2vec vector from the given text
- Compute the Jaroinkler similarity between two strings
- Process a text file
- Splits the dataset
- Takes in a text file and writes it to outpath
- Check the split ratio
- Predict from a file
- Compute the difference between two words
- Convert a batch to a tensor
- Yield lines from a csv file
- Compute the word2vec vector from the input string
- Return the bow vector of the given text
- Calculate the glove vector for a given text
- Construct a Tree from a string
- Compute the word2vec of a given text
- Create a dataset from a dataset
- Make a feature
- Evaluate the model
- Performs prediction
- Build the vocab
- Train a doc2vec model
- Forward computation
- Train TFIDF
- Get the list of objects that are near the given simhash
- Calculate the pagerankankank
Get all kandi verified functions for this library.
ATEC Key Features
No Key Features are available at this moment for ATEC.
ATEC Examples and Code Snippets
No Code Snippets are available at this moment for ATEC.
Community Discussions
No Community Discussions are available at this moment for ATEC.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ATEC
You can download it from GitHub.
You can use ATEC 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 ATEC 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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