The generic samples that are shipped with WSO2 Machine Learner are as follows.
- Generating a Model Using the Decision Tree Algorithm
- Generating a Model Using the K-Means Algorithm
- Generating a Model Using the Lasso Regression Algorithm
- Generating a Model Using the Linear Regression Algorithm
- Generating a Model Using the Logistic Regression Algorithm
- Generating a Model Using the Logistic Regression Algorithm with HDFS Support
- Generating a Model Using the Naive Bayes Algorithm
- Generating a Model using the Ridge Regression Algorithm
- Generating a Model using the Support Vector Machine Algorithm
- Generating a Model Using the Random Forest Classification Algorithm
- Generating a Model Using the K Means Anomaly Detection Algorithm with Labeled Data
- Generating a Model Using the K Means Anomaly Detection Algorithm with Unlabeled Data
- Generating a Model Using the Stacked Autoencoders Algorithm
- Generating a Model Using the Collaborative Filtering for Explicit Data Algorithm
- Generating a Model Using the Collaborative Filtering for Implicit Feedback Data Algorithm
- Generating a Model Using the Random Forest Regression Algorithm
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