seqeval | Python framework for sequence labeling evaluation | Natural Language Processing library

by chakki-works Python Version: 1.2.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | seqeval Summary

seqeval is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning applications. seqeval has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install seqeval' or download it from GitHub, PyPI.

seqeval is a Python framework for sequence labeling evaluation. seqeval can evaluate the performance of chunking tasks such as named-entity recognition, part-of-speech tagging, semantic role labeling and so on. This is well-tested by using the Perl script conlleval, which can be used for measuring the performance of a system that has processed the CoNLL-2000 shared task data.

Support

Quality

Security

License

Reuse

Support

seqeval has a medium active ecosystem.

It has 898 star(s) with 118 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 44 have been closed. On average issues are closed in 119 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of seqeval is 1.2.2

Quality

seqeval has 0 bugs and 0 code smells.

Security

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

seqeval code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

seqeval 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

seqeval releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

seqeval saves you 862 person hours of effort in developing the same functionality from scratch.

It has 1973 lines of code, 128 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Compute the classification report
Write a row to the buffer
Generate the report header
Return the report as a string
Return a list of entities
Check if the tag has the given condition
Check if the given token matches the given pattern
Check if the token is a start pattern

Get all kandi verified functions for this library.

seqeval Key Features

No Key Features are available at this moment for seqeval.

seqeval Examples and Code Snippets

No Code Snippets are available at this moment for seqeval.

Community Discussions

Trending Discussions on seqeval

Colab: (0) UNIMPLEMENTED: DNN library is not found

Tensorflow Object Detection API taking forever to install in a Google Colab and failing

BERT DataLoader: Difference between shuffle=True vs Sampler?

Can't clone github public repository into Dockerfile's Run order

Is it possible to obtain predictions in IOB format? - NER

QUESTION

Colab: (0) UNIMPLEMENTED: DNN library is not found

Asked 2022-Feb-08 at 19:27

I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:

...

ANSWER

Answered 2022-Feb-07 at 09:19

It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

Source https://stackoverflow.com/questions/71000120

QUESTION

Tensorflow Object Detection API taking forever to install in a Google Colab and failing

Asked 2021-Nov-19 at 00:16

I am trying to install the Tensorflow Object Detection API on a Google Colab and the part that installs the API, shown below, takes a very long time to execute (in excess of one hour) and eventually fails to install.

...

ANSWER

Answered 2021-Nov-19 at 00:16

I have solved this problem with

Source https://stackoverflow.com/questions/70012098

QUESTION

BERT DataLoader: Difference between shuffle=True vs Sampler?

Asked 2020-Dec-27 at 09:22

I trained a DistilBERT model with DistilBertForTokenClassification on ConLL data fro predicting NER. Training seem to have completed with no problems but I have 2 problems during evaluation phase.

I'm getting negative loss value
During training, I used shuffle=True for DataLoader. But during evaluation, when I do shuffle=True for DataLoader, I get very poor metric results(f_1, accuracy, recall etc). But if I do shuffle = False or use a Sampler instead of shuffling I get pretty good metric results. I'm wondering if there is anything wrong with my code.

Here is the evaluation code:

...

ANSWER

Answered 2020-Dec-21 at 17:06

You are not calculating the loss correctly. Firstly I wonder why you use the mean of the logits as loss, but that might be sth task specific that I am not familiar with. But you are definitely not accumulating the losses correctly, or not at all to be precise. The loss you print out is just from the last batch. This explains why the results differ when using shuffle. This should definitely not be the case when implemented correctly.

The fact that you get a negative loss is because you just use the mean of the logits as loss, which of course can be negative.

Still other metrics like accuracy should not be affected by this, but you didn't provide the code that calculates those metrics, so theres no way of spotting the point of failure.

Source https://stackoverflow.com/questions/65396650

QUESTION

Can't clone github public repository into Dockerfile's Run order

Asked 2020-Jul-01 at 21:17

Premise · What I want to realize

I'm trying to clone a git public Repository into Dockerfiles Run order, but I'm not going well...

testing environment

MacOS Mojave
- 10.14.6
Docker
- 19.03.8
python
- 3.6.10
bash
- 3.2.57

What I did

**1. make a Dockerfile **

...

ANSWER

Answered 2020-Jun-30 at 03:18

I changed a bit your Dockerfile to test with my repo and it works well.

Source https://stackoverflow.com/questions/62649390

QUESTION

Is it possible to obtain predictions in IOB format? - NER

Asked 2020-Apr-07 at 16:14

When evaluating my NER models, I would like to pass my evaluation data to the predict method and get as output the predictions in IOB format. The reason I want this is I need to use seqeval to obtain the confusion matrix as there is no such capability in spaCy. Is this possible - to produce output compatible for use with seqeval package?

...

ANSWER

Answered 2020-Apr-07 at 16:14

You can access the IOB annotations with token.ent_iob:

Source https://stackoverflow.com/questions/61080946

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