timealign | Parallel corpus annotation and visualization | Data Labeling library

by UUDigitalHumanitieslab Python Version: v0.2 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | timealign Summary

timealign is a Python library typically used in Artificial Intelligence, Data Labeling applications. timealign has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

TimeAlign allows you to easily annotate similar forms in aligned phrases.

Support

Quality

Security

License

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Support

timealign has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 20 have been closed. On average issues are closed in 128 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of timealign is v0.2

Quality

timealign has no bugs reported.

Security

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

License

timealign 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

timealign releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Get the context data
Get label properties
Get label properties from cache
Return a color
Get context data
Reduce a model
Prepare the flat data for nvd3
Load a scenario from the database
Processes a csv file
Returns a queryset containing all the fragments in the scenario
Validate and return a label
Export selections
Called when the user has selected
Overrides django get_object
Returns a queryset queryset queryset
Returns a queryset of all scenarios
Returns a queryset queryset
Returns the total number of complements
Handle GET request
Returns a queryset of all Mentions
Gets the context data
Return a list of all the texts in the corpus
Retrieve the context of a given scenario
Export a scenario
Add the labels to the context
Return context data

Get all kandi verified functions for this library.

timealign Key Features

No Key Features are available at this moment for timealign.

timealign Examples and Code Snippets

TimeAlign,Installation,Setting up TimeAlign in a virtual environment

Python

Lines of Code : 30

License : Permissive (MIT)

Copy

# Clone the repository
git clone [repository URL]
cd timealign/

# NOTE! When using Pycharm, .env cannot be recognized as a virtual environment folder. Use 'venv' instead.
# Create a virtual environment
sudo apt-get install virtualenv
virtualenv .env

TimeAlign,Installation,MySQL Dependencies

Python

Lines of Code : 3

License : Permissive (MIT)

Copy

sudo yum install mariadb-server mariadb-devel python3-devel
sudo yum groupinstall 'Development Tools'

sudo apt-get install python3-dev default-libmysqlclient-dev libssl-dev mysql-server

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

...

ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

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

Vulnerabilities

No vulnerabilities reported

Install timealign

TimeAlign is created with the Django web framework and requires Python 3. After installing the dependencies for the MySQL database driver (see below), you can install the required python packages by running pip install -r requirements.txt.
If the test runs OK, you should be ready to roll! Run the webserver using:.