daguan_elmo_ner | “达观杯”的比赛代码

by yumath Python Version: Current License: No License

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

kandi X-RAY | daguan_elmo_ner Summary

daguan_elmo_ner is a Python library. daguan_elmo_ner has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

“达观杯”的比赛代码

Support

Quality

Security

License

Reuse

Support

daguan_elmo_ner has a low active ecosystem.

It has 8 star(s) with 6 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 2 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of daguan_elmo_ner is current.

Quality

daguan_elmo_ner has no bugs reported.

Security

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

License

daguan_elmo_ner 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

daguan_elmo_ner 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.

Top functions reviewed by kandi - BETA

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

Train the graph
Evaluate the given iterable
Loads sentences from file
Parse an ELMo file
Iterate over the batch data
Connects the model
Builds the word character embeddings
Build the loss layer
Build the embeddings
Test language model
Compute EvalCounts
Example of gaikinji txt
Dump weights to disk
Load embeddings from a pretrained embedding file
Dump bilm embedding
Removes test results
Run the prediction
Iterate over the batch
Prints a summary of the counts
Embed embedding layer
Evaluate the pipeline
Generator that yields batches of data
Generate mapping between sentences
Iterate through the corpus
Sort the data according to the given size
Evaluate a single step
Builds the grammar
Sorts the data according to the provided data

Get all kandi verified functions for this library.

daguan_elmo_ner Key Features

No Key Features are available at this moment for daguan_elmo_ner.

daguan_elmo_ner Examples and Code Snippets

No Code Snippets are available at this moment for daguan_elmo_ner.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install daguan_elmo_ner

You can download it from GitHub.
You can use daguan_elmo_ner 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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