skll | Learn Laboratory makes it easy to run machine | Machine Learning library

by EducationalTestingService Python Version: 5.0.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | skll Summary

skll is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. skll has no bugs, it has no vulnerabilities, it has build file available and it has low support. However skll has a Non-SPDX License. You can install using 'pip install skll' or download it from GitHub, GitLab, PyPI.

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

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Quality

Security

License

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Support

skll has a low active ecosystem.

It has 535 star(s) with 66 fork(s). There are 46 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 27 open issues and 375 have been closed. On average issues are closed in 389 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of skll is 5.0.1

Quality

skll has no bugs reported.

Security

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

License

skll has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

skll releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Read a configuration file
Classify featureset
Cross validation
Generate plots for a learning curve
Write a summary file for each result set
Creates the label dictionary for the given examples
Splits the features in the group
Get the model parameters
Convert a coef array to a dictionary
Generate the plots for a learning curve
Compute the eval from predictions
Creates a prediction from the given probabilities
Parse libsvm file
Convert a pair to a tuple
Filter the features based on their features
Read the ARFF file
Split a string with quotes
Creates a summary file for each feature set
Iterate over the examples
Subtract features from a file
Write the header of the ARFF file
Read the examples
Write features to file
Split the data into train and test examples
Read data from file
Load the learner from a file
Write feature files
Write data to a csv file
Return a list of requirements txt

Get all kandi verified functions for this library.

skll Key Features

No Key Features are available at this moment for skll.

skll Examples and Code Snippets

No Code Snippets are available at this moment for skll.

Community Discussions

Trending Discussions on skll

Pop up doesn't show me the photo I want

QUESTION

Pop up doesn't show me the photo I want

Asked 2019-Apr-20 at 19:01

Problem with 'Classes' and GetElementById?

As you can see in my CodePen, there are some photo in the Gallery section, when you click on someone of that, there is a pop up shows up, i need to open each different photo in that pop up when you click on that, and some info about the product, near the photo on the pop up, I think there is a problem in the Var on JS, I have to name the classes of the photo from child 1 to child 15?

I don't understand where the problem is

...

ANSWER

Answered 2019-Apr-20 at 19:01

You can retrieve the image from the clicked element and pass it as the src of your element inside the popup like this :

Source https://stackoverflow.com/questions/55776386

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

Vulnerabilities

No vulnerabilities reported

Install skll

You can install using 'pip install skll' or download it from GitHub, GitLab, PyPI.
You can use skll 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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