https://github.com/alonsovidales/go_ml

Machine Learning libraries for Go Lang - Linear regression, Logistic regression, etc.
https://github.com/alonsovidales/go_ml

Last synced: about 2 months ago
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Machine Learning libraries for Go Lang - Linear regression, Logistic regression, etc.

• Host: GitHub
• URL: https://github.com/alonsovidales/go_ml
• Owner: alonsovidales
• Created: 2013-12-01T16:02:45.000Z (about 12 years ago)
• Default Branch: master
• Last Pushed: 2017-04-17T01:34:56.000Z (over 8 years ago)
• Last Synced: 2024-06-18T21:41:53.908Z (over 1 year ago)
• Language: Go
• Size: 8.73 MB
• Stars: 203
• Watchers: 13
• Forks: 26
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-machine-learning - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. **[Deprecated]** (Go / [Tools](#tools-1))
• awesome-machine-learning - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. (Go / Speech Recognition)
• awesome-machine-learning - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. **[Deprecated]** (Go)
• fucking-awesome-machine-learning - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. **[Deprecated]** (Go / [Tools](#tools-1))
• awesome-machine-learning - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. **[Deprecated]** (Go / [Tools](#tools-1))
• awesome-machine-learning - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. (Go / Speech Recognition)
• awesome-machine-learning - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. **[Deprecated]** (Go / [Tools](#tools-1))
• awesome-advanced-metering-infrastructure - go-ml - Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution. (Go / Speech Recognition)

README

          
## package ml - Machine Learning Libraries

###import "github.com/alonsovidales/go_ml"

[![GoDoc](https://godoc.org/github.com/alonsovidales/go_ml?status.png)](https://godoc.org/github.com/alonsovidales/go_ml)

Package ml provides some implementations of usefull machine learning algorithms for data mining and data analysis.

The implemented algorithms are:

	- Linear Regression

	- Logistic Regression

	- Neural Networks

	- Collaborative Filtering

	- Gaussian Multivariate Distribution for anomaly detection systems

Is implemented too the fmincg function in order to calculate the optimal theta configuration to reduce the cost value for all the implemented solutions.

Author: Alonso Vidales 

Use of this source code is governed by a BSD-style. These programs and documents are distributed without any warranty, express or implied. All use of these programs is entirely at the user's own risk.

For further information about this libraries, please visit the online documentation on: