Machine-Learning-Algorithm | some classical ML Algorithm implementation | Machine Learning library
kandi X-RAY | Machine-Learning-Algorithm Summary
kandi X-RAY | Machine-Learning-Algorithm Summary
Machine-Learning-Algorithm is a Java library typically used in Artificial Intelligence, Machine Learning, Example Codes applications. Machine-Learning-Algorithm has no bugs, it has no vulnerabilities and it has low support. However Machine-Learning-Algorithm build file is not available. You can download it from GitHub.
some classical ML Algorithm implementation with JAVA
some classical ML Algorithm implementation with JAVA
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Quality
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Machine-Learning-Algorithm has a low active ecosystem.
It has 19 star(s) with 30 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Machine-Learning-Algorithm has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Machine-Learning-Algorithm is current.
Quality
Machine-Learning-Algorithm has 0 bugs and 0 code smells.
Security
Machine-Learning-Algorithm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Machine-Learning-Algorithm code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Machine-Learning-Algorithm 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.
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Machine-Learning-Algorithm releases are not available. You will need to build from source code and install.
Machine-Learning-Algorithm has no build file. You will be need to create the build yourself to build the component from source.
Machine-Learning-Algorithm saves you 283 person hours of effort in developing the same functionality from scratch.
It has 685 lines of code, 45 functions and 4 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Machine-Learning-Algorithm and discovered the below as its top functions. This is intended to give you an instant insight into Machine-Learning-Algorithm implemented functionality, and help decide if they suit your requirements.
- Main method
- Create data input from file
- Starts the forest
- Test the forest
- Creates a random decision tree
- Returns a list of M attributes
- Checks the entropy of an attribute
- Creates the tree structure
- Calculates the importance of the tree variable
- Calculates the error rate of the tree
- Randomly permutes the importance of a data set
- Creates a copy of the data matrix
- Evaluates the specified record
- Finds the maximum index in an array
- Evaluates a data record
- Calculate forest error rate
- Generate a boostrap sample of a data matrix
Get all kandi verified functions for this library.
Machine-Learning-Algorithm Key Features
No Key Features are available at this moment for Machine-Learning-Algorithm.
Machine-Learning-Algorithm Examples and Code Snippets
No Code Snippets are available at this moment for Machine-Learning-Algorithm.
Community Discussions
Trending Discussions on Machine-Learning-Algorithm
QUESTION
How to calculate 95% CI for accuracy and kappa in caret
Asked 2021-Mar-05 at 10:44
I am running k-fold repeated training with the caret package and would like to calculate the confidence interval for my accuracy metrics. This tutorial prints a caret training object that shows accuracy/kappa metrics and associated SD: https://machinelearningmastery.com/tune-machine-learning-algorithms-in-r/. However, when I do this, all that is listed are the metric average values.
...ANSWER
Answered 2021-Mar-01 at 07:44It looks like it is stored in the results variable of the resultant object.
QUESTION
NoneType is not iterable, error caused while web scraping using Python 3.8
Asked 2020-Apr-05 at 04:40
I am currently assigned to making a web scraper that pulls links. I can successfully pull this data:
...ANSWER
Answered 2020-Apr-05 at 04:40You have to check if the link indeed has the "href" attribute:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Machine-Learning-Algorithm
You can download it from GitHub.
You can use Machine-Learning-Algorithm 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 Machine-Learning-Algorithm 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 Machine-Learning-Algorithm 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 Machine-Learning-Algorithm 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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