0001 - text: Data types
0002 url: mllib-data-types.html
0003 - text: Basic statistics
0004 url: mllib-statistics.html
0005 subitems:
0006 - text: Summary statistics
0007 url: mllib-statistics.html#summary-statistics
0008 - text: Correlations
0009 url: mllib-statistics.html#correlations
0010 - text: Stratified sampling
0011 url: mllib-statistics.html#stratified-sampling
0012 - text: Hypothesis testing
0013 url: mllib-statistics.html#hypothesis-testing
0014 - text: Random data generation
0015 url: mllib-statistics.html#random-data-generation
0016 - text: Classification and regression
0017 url: mllib-classification-regression.html
0018 subitems:
0019 - text: Linear models (SVMs, logistic regression, linear regression)
0020 url: mllib-linear-methods.html
0021 - text: Naive Bayes
0022 url: mllib-naive-bayes.html
0023 - text: decision trees
0024 url: mllib-decision-tree.html
0025 - text: ensembles of trees (Random Forests and Gradient-Boosted Trees)
0026 url: mllib-ensembles.html
0027 - text: isotonic regression
0028 url: mllib-isotonic-regression.html
0029 - text: Collaborative filtering
0030 url: mllib-collaborative-filtering.html
0031 subitems:
0032 - text: alternating least squares (ALS)
0033 url: mllib-collaborative-filtering.html#collaborative-filtering
0034 - text: Clustering
0035 url: mllib-clustering.html
0036 subitems:
0037 - text: k-means
0038 url: mllib-clustering.html#k-means
0039 - text: Gaussian mixture
0040 url: mllib-clustering.html#gaussian-mixture
0041 - text: power iteration clustering (PIC)
0042 url: mllib-clustering.html#power-iteration-clustering-pic
0043 - text: latent Dirichlet allocation (LDA)
0044 url: mllib-clustering.html#latent-dirichlet-allocation-lda
0045 - text: streaming k-means
0046 url: mllib-clustering.html#streaming-k-means
0047 - text: Dimensionality reduction
0048 url: mllib-dimensionality-reduction.html
0049 subitems:
0050 - text: singular value decomposition (SVD)
0051 url: mllib-dimensionality-reduction.html#singular-value-decomposition-svd
0052 - text: principal component analysis (PCA)
0053 url: mllib-dimensionality-reduction.html#principal-component-analysis-pca
0054 - text: Feature extraction and transformation
0055 url: mllib-feature-extraction.html
0056 - text: Frequent pattern mining
0057 url: mllib-frequent-pattern-mining.html
0058 subitems:
0059 - text: FP-growth
0060 url: mllib-frequent-pattern-mining.html#fp-growth
0061 - text: association rules
0062 url: mllib-frequent-pattern-mining.html#association-rules
0063 - text: PrefixSpan
0064 url: mllib-frequent-pattern-mining.html#prefix-span
0065 - text: Evaluation metrics
0066 url: mllib-evaluation-metrics.html
0067 - text: PMML model export
0068 url: mllib-pmml-model-export.html
0069 - text: Optimization (developer)
0070 url: mllib-optimization.html
0071 subitems:
0072 - text: stochastic gradient descent
0073 url: mllib-optimization.html#stochastic-gradient-descent-sgd
0074 - text: limited-memory BFGS (L-BFGS)
0075 url: mllib-optimization.html#limited-memory-bfgs-l-bfgs
