json2vec | Semantic Tree-structured Learning Algorithm

by EndingCredits Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | json2vec Summary

json2vec is a Python library. json2vec 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.

json2vec is a neural network 'architecture' for JSON data. It is based on the STRLA algorithm presented in this preprint [Essentially, json2vec dynamically constructs a neural network for a given piece of input data by recursively applying a set of common neural network components. Each of these components have trainable parameters and json2vec can be trained as a conventional nerual network (so, despite the name, json2vec is not an unsupervised algorithm). For further details, see the link above.

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Support

json2vec has a low active ecosystem.

It has 7 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of json2vec is current.

Quality

json2vec has 0 bugs and 0 code smells.

Security

json2vec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

json2vec code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

json2vec is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

json2vec 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, examples and code snippets are available.

It has 2559 lines of code, 120 functions and 10 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed json2vec and discovered the below as its top functions. This is intended to give you an instant insight into json2vec implemented functionality, and help decide if they suit your requirements.

Load the consensus dataset
Return a list of attribute names
Get a vector from a row
Match the given match string
Try to find a matching match
Match a match string
Embedding a node
Convert a path to a canonical form
Embed a string
Embed the given child states
Convert a path to its canonical form
Compute the LSTM
Embed the given string
Compute LSTM
Forward a node
Compute the maximum embedding of child_states
Embed a number
Load an automobile
Loads a Keras model
Loads aismic dataset
Load a Shushroom dataset
Load the basic information of the Bank
Loads the covertype dataset
Loads a shopping website
Load a csv file
Load a dense dataset
Load contraceptive dataset

Get all kandi verified functions for this library.

json2vec Key Features

No Key Features are available at this moment for json2vec.

json2vec Examples and Code Snippets

No Code Snippets are available at this moment for json2vec.

Community Discussions

No Community Discussions are available at this moment for json2vec.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install json2vec

To install, first clone the repository to your local machine via. Install the required python librareies via pip. or via your preferred python package manager. If you don't already have it installed, install pytorch according to the instructions at [https://pytorch.org/]. For the cpu version on linux, the CPU-only version of pytorch can be installed via the following pip command. You can test the installation by running.

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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