BDCI2019-NER | BDCI2019-互联网金融新实体发现-第7名（本可top3）

by houking-can Python Version: Current License: No License

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

kandi X-RAY | BDCI2019-NER Summary

BDCI2019-NER is a Python library. BDCI2019-NER has no bugs, it has no vulnerabilities and it has low support. However BDCI2019-NER build file is not available. You can download it from GitHub.

BDCI2019-互联网金融新实体发现-第7名（本可top3）

Support

Quality

Security

License

Reuse

Support

BDCI2019-NER has a low active ecosystem.

It has 14 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

BDCI2019-NER has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of BDCI2019-NER is current.

Quality

BDCI2019-NER has no bugs reported.

Security

BDCI2019-NER has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

BDCI2019-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

BDCI2019-NER releases are not available. You will need to build from source code and install.

BDCI2019-NER 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 BDCI2019-NER and discovered the below as its top functions. This is intended to give you an instant insight into BDCI2019-NER implemented functionality, and help decide if they suit your requirements.

Train the BERT model
Create a function that builds a TPUEstimator
Get the last checkpoint path
Perform Adam filter
Builds a TensorFlow input function
Write predictions to the prediction file
Return the final prediction
Compute softmax
Get the n_best_size of the logits
Write examples to examples
Builds the input_fn
Optimize anNER model
Optimize the classification model
Tokenize text
Process csv file
Remove entities from post_path
Embed word embedding
Generate train brat
Generate a csv file
Build a tf input
Transformer transformer model
Build a function for TPUEstimator
Optimize TensorFlow graph
Embedding postprocessor
Generate training data
Reads a squad example file
Evaluate a sequence of chunks

Get all kandi verified functions for this library.

BDCI2019-NER Key Features

No Key Features are available at this moment for BDCI2019-NER.

BDCI2019-NER Examples and Code Snippets

No Code Snippets are available at this moment for BDCI2019-NER.

Community Discussions

No Community Discussions are available at this moment for BDCI2019-NER.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install BDCI2019-NER

You can download it from GitHub.
You can use BDCI2019-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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