kandi X-RAY | fitness-predictor Summary
kandi X-RAY | fitness-predictor Summary
fitness-predictor is a Java library. fitness-predictor has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
fitness-predictor
fitness-predictor
Support
Quality
Security
License
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Support
fitness-predictor has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 1 have been closed. On average issues are closed in 34 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of fitness-predictor is current.
Quality
fitness-predictor has no bugs reported.
Security
fitness-predictor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
fitness-predictor 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
fitness-predictor releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed fitness-predictor and discovered the below as its top functions. This is intended to give you an instant insight into fitness-predictor implemented functionality, and help decide if they suit your requirements.
- Display a graphical activity
- Creates and fills a list of dates
- Get moving average
- Sorts the given list by start time
- Create a new view
- Get the maximum value of the chart
- Creates a DataPoint array from two dates
- Initialize the user
- Registers the login process with the given user name and password
- Initializes the login form
- Attempt to enter the login task
- Invoked when the Activity login is done
- Handles the login success
- Creates a new instance of FitnessFragment
- This method provides a list of works
- Create view
- Log out the user
- Region destroyView
- Create a new instance of this analysis fragment
- Initializes the instance variables
- Helper method to set the logout
- Attempt to login with the given keystore
- This method is called when the Activity is created
- Region Authenticated
- Creates and returns the view which should be displayed for the current screen
- Static factory method to build a new weather fragment
Get all kandi verified functions for this library.
fitness-predictor Key Features
No Key Features are available at this moment for fitness-predictor.
fitness-predictor Examples and Code Snippets
No Code Snippets are available at this moment for fitness-predictor.
Community Discussions
No Community Discussions are available at this moment for fitness-predictor.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fitness-predictor
You can download it from GitHub.
You can use fitness-predictor like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the fitness-predictor component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use fitness-predictor like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the fitness-predictor component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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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