NLP_basis | NLP tutorial [ 2019 Latest AI Natural Language Processing

by JackKuo666 Python Version: Current License: No License

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

kandi X-RAY | NLP_basis Summary

NLP_basis is a Python library. NLP_basis has no bugs, it has no vulnerabilities and it has low support. However NLP_basis build file is not available. You can download it from GitHub.

This is the notes and code I made while studying an NLP tutorial [2019 Latest AI Natural Language Processing - Deep Machine Learning Top Project Practical Course]

Support

Quality

Security

License

Reuse

Support

NLP_basis has a low active ecosystem.

It has 399 star(s) with 170 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 0 have been closed. On average issues are closed in 491 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NLP_basis is current.

Quality

NLP_basis has no bugs reported.

Security

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

License

NLP_basis does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

NLP_basis releases are not available. You will need to build from source code and install.

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

Train the neural network
Iterate over the batch data
Evaluate a sequence of chunks
Create a mapping from a dict to item ids
Load embeddings from a pretrained embedding file
Run test
Gradient of the gradients
Calculate the delta_h and activator
Calculates the delta k for a given k
Split a long sentence by separator
Searches tree
Produce a report of the counts
Evaluate a line
Builds a dataset from a list of words
Removes word frequency from training words
Merge two lists
Calculate the delta for each channel
Parses text into a triples
Compute EvalCounts
Gradient check function
Search tree
Parses a sentence
Save train data files
Deletes the temporary files
Generate a batch of data
Returns a list of trees
Test for ENTL
Evaluate the pipeline

Get all kandi verified functions for this library.

NLP_basis Key Features

No Key Features are available at this moment for NLP_basis.

NLP_basis Examples and Code Snippets

No Code Snippets are available at this moment for NLP_basis.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install NLP_basis

You can download it from GitHub.
You can use NLP_basis 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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