comboFM | Machine learning framework for predicting the responses | Machine Learning library

by aalto-ics-kepaco Python Version: v1.0 License: No License

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

kandi X-RAY | comboFM Summary

comboFM is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. comboFM has no bugs, it has no vulnerabilities and it has low support. However comboFM build file is not available. You can download it from GitHub.

comboFM is a machine learning framework for predicting the responses of drug combinations in pre-clinical studies, such as those based on cell lines or patient-derived cells, implemented in Python. The data used in the experiments is available on:

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Support

comboFM has a low active ecosystem.

It has 24 star(s) with 13 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of comboFM is v1.0

Quality

comboFM has no bugs reported.

Security

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

License

comboFM 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

comboFM releases are available to install and integrate.

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

Run experiment .
Standardize the training data .
Concatenate feature files .

Get all kandi verified functions for this library.

comboFM Key Features

No Key Features are available at this moment for comboFM.

comboFM Examples and Code Snippets

No Code Snippets are available at this moment for comboFM.

Community Discussions

Trending Discussions on comboFM

C# - Add values to a string array unless they are NULL

QUESTION

C# - Add values to a string array unless they are NULL

Asked 2019-Feb-21 at 19:50

I'm populating a ComboBox with a list of values taken from four text boxes that are in a 'configuration' form. The code works, but the issue I have is that it is acceptable for some of these text boxes to be blank. If any of the text boxes are empty, then I have empty spaces in my ComboBox list. My code:

...

ANSWER

Answered 2019-Feb-21 at 19:50

You could replace the comboFms.Items.AddRange(fmsDB); with:

Source https://stackoverflow.com/questions/41935834

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

Vulnerabilities

No vulnerabilities reported

Install comboFM

You can download it from GitHub.
You can use comboFM 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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