python-crf | Python implementation of linear-chain conditional | Natural Language Processing library

by shawntan Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | python-crf Summary

python-crf is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. python-crf has no bugs, it has no vulnerabilities and it has low support. However python-crf build file is not available. You can download it from GitHub.

Python implementation of linear-chain conditional random fields. Use to do feature extraction from products.

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Security

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Support

python-crf has a low active ecosystem.

It has 95 star(s) with 54 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. On average issues are closed in 2451 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-crf is current.

Quality

python-crf has 0 bugs and 0 code smells.

Security

python-crf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-crf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-crf 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

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

python-crf has no build file. You will be need to create the build yourself to build the component from source.

python-crf saves you 492 person hours of effort in developing the same functionality from scratch.

It has 1157 lines of code, 90 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Pickle a Python object
Calculates the negative likelihood of the model .
Fits a dataset .
generate a time series
Import modules to main module
Create a skeleton function type .
Import django settings module
Return start and end coordinates from a range object
Fill a function .
Dump obj to file

Get all kandi verified functions for this library.

python-crf Key Features

No Key Features are available at this moment for python-crf.

python-crf Examples and Code Snippets

No Code Snippets are available at this moment for python-crf.

Community Discussions

Trending Discussions on python-crf

How to use RandomizedSearchCV on a nested list consisting of one list?

PIP install rasa-x is not working and pip downgrade too

Why is the Trainer function in pycrfsuite not working?

Why doesn't the rasa nlu recognize that tensorflow is installed?

QUESTION

How to use RandomizedSearchCV on a nested list consisting of one list?

Asked 2022-Feb-02 at 15:50

I have built a Sentence Boundary Detection Classifier. For the sequence labeling I used a conditional random field. For the hyperparameter optimization I would like to use RandomizedSearchCV. My training data consists of 6 annotated texts. I merge all 6 texts to a tokenlist. For the implementation I followed an example from the documentation. Here my simplified code:

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ANSWER

Answered 2022-Jan-31 at 13:33

According to the official tutorial here, your train/test sets (i.e., X_train, X_test) should be a list of lists of dictionaries. For example:

Source https://stackoverflow.com/questions/70923870

QUESTION

PIP install rasa-x is not working and pip downgrade too

Asked 2021-Jan-25 at 13:34

I have exactly the same problem as mentioned in PIP install rasa-x takes forever. In the Rasa installation guide they say, you have to create an environment first. Everytime I do: conda create --name rasa python==3.7.6 it automatically downloads pip-20.3.3. If I now try the pip install --upgrade pip==20.2 command it shows the following error: Error. What did I do wrong? Thanks for the help!

**Update: python -m pip install --upgrade pip==20.2 worked, but now there is another problem when trying to install Rasa-X:Rasa-X installation error

here is the code

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ANSWER

Answered 2021-Jan-25 at 13:34

I had this issue as well and for me installing pip packages with python -m pip install worked. So python -m pip install --upgrade pip==20.2 should work for you.

See here:

Source https://stackoverflow.com/questions/65884779

QUESTION

Why is the Trainer function in pycrfsuite not working?

Asked 2020-Mar-18 at 08:48

I'm building a word segmentation tool and for some reason the pycrfsuite.Trainer isn't working.

It's giving me the error "Module 'pycrfsuite' has no 'Trainer' memberpylint"

trainer = pycrfsuite.Trainer(verbose=False)

I've tried uninstalling and reinstalling the python-crfsuite again but that didn't work for me.

Any solutions? Thank you.

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ANSWER

Answered 2020-Mar-18 at 08:48

Okay so I realized that Visual Code was giving an error even though the function Trainer worked fine.

So now I'm just ignoring the error and it seems to be working.

Thank you.

Source https://stackoverflow.com/questions/60465708

QUESTION

Why doesn't the rasa nlu recognize that tensorflow is installed?

Asked 2020-Feb-28 at 10:09

I'm using the rasa nlu with the supervised_embedding pipeline, and I am trying to train my models. On my local machine, I can train without any issues. When I try to train the models on my server, I am getting the following error:

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ANSWER

Answered 2020-Feb-26 at 14:31

Looks like the reason it wasn't working on the server is because the CPU on it doesn't have the AVX instruction set. I have managed to train it on another server that has the AVX instruction set.

Source https://stackoverflow.com/questions/60400753

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

Vulnerabilities

No vulnerabilities reported

Install python-crf

You can download it from GitHub.
You can use python-crf 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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