https://github.com/vertica/Machine-Learning-Examples

Vertica Machine Learning examples and example data.
https://github.com/vertica/Machine-Learning-Examples

Last synced: 3 months ago
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Vertica Machine Learning examples and example data.

• Host: GitHub
• URL: https://github.com/vertica/Machine-Learning-Examples
• Owner: vertica
• Created: 2016-08-29T15:38:27.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2023-11-15T22:17:53.000Z (about 1 year ago)
• Last Synced: 2024-11-12T09:13:04.883Z (3 months ago)
• Language: Python
• Size: 13 MB
• Stars: 24
• Watchers: 16
• Forks: 22
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-vertica - vertica-machine-learning-examples - In-database machine learning examples. (Examples)

README

        
# Vertica Machine Learning Example Data

Use the data in this repository to complete the Machine Learning examples

in the [Vertica documentation].

## Loading the data

To load the Machine Learning example data, run the following command

in 'data' directory of the cloned repository:

```

$ vsql -f load_ml_data.sql

```

Alternatively, you can run the indiviudal commands in the SQL file to load a particular data set.

## Machine Learning Examples

For complete examples of each of the Machine Learning function, see the following links:

* [Data preparation]

* [k-means]

* [Linear Regression]

* [Logistic Regression]

* [Naive Bayes]

* [Random Forest]

* [SVM Classification]

* [SVM Regression]

## Reference Documentation

[Vertica machine learning reference documentation]

[Vertica documentation]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/DownloadingMLExampleData.htm

[Data preparation]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/DataPreparation/DataPreparation.htm

[k-means]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/Kmeans/Kmeans.htm

[Linear Regression]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/LinearRegression/LinearRegression.htm

[Logistic Regression]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/LogisticRegression/LogisticRegression.htm

[Naive Bayes]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/NaiveBayes/NaiveBayes.htm

[Random Forest]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/RandomForest/RandomForest.htm

[SVM Classification]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/SVM/SVM.htm

[SVM Regression]: https://my.vertica.com/docs/latest/HTML/index.htm#Authoring/AnalyzingData/MachineLearning/SVM/SVM__SupportVectorMachine_forRegression.htm

[Vertica machine learning reference documentation]: https://my.vertica.com/docs/latest/HTML/#Authoring/SQLReferenceManual/Functions/MachineLearning/MLAlgorithms.htm