MLLib introduction¶

Some capabilities¶

Feature extraction
- Term frequency / inverse document frequency useful for search
Basic statistics
- Chi-squared test, pearson or spearman correlation, min, max, mean, variance
Linear regression, logistic regression
Support Vector Machines
Naive Bayes Classifier
Decision trees
K-mean clustering
Principal component analysis, singular value decomposition
Recommendations using alternating least squares