fc4b792d28
This PR adds a sidebar menu when browsing the user guide of MLlib. It uses a YAML file to describe the structure of the documentation. It should be trivial to adapt this to the other projects. ![screen shot 2015-11-18 at 4 46 12 pm](https://cloud.githubusercontent.com/assets/7594753/11259591/a55173f4-8e17-11e5-9340-0aed79d66262.png) Author: Timothy Hunter <timhunter@databricks.com> Closes #9826 from thunterdb/spark-11835.
76 lines
2.8 KiB
YAML
76 lines
2.8 KiB
YAML
- text: Data types
|
|
url: mllib-data-types.html
|
|
- text: Basic statistics
|
|
url: mllib-statistics.html
|
|
subitems:
|
|
- text: Summary statistics
|
|
url: mllib-statistics.html#summary-statistics
|
|
- text: Correlations
|
|
url: mllib-statistics.html#correlations
|
|
- text: Stratified sampling
|
|
url: mllib-statistics.html#stratified-sampling
|
|
- text: Hypothesis testing
|
|
url: mllib-statistics.html#hypothesis-testing
|
|
- text: Random data generation
|
|
url: mllib-statistics.html#random-data-generation
|
|
- text: Classification and regression
|
|
url: mllib-classification-regression.html
|
|
subitems:
|
|
- text: Linear models (SVMs, logistic regression, linear regression)
|
|
url: mllib-linear-methods.html
|
|
- text: Naive Bayes
|
|
url: mllib-naive-bayes.html
|
|
- text: decision trees
|
|
url: mllib-decision-tree.html
|
|
- text: ensembles of trees (Random Forests and Gradient-Boosted Trees)
|
|
url: mllib-ensembles.html
|
|
- text: isotonic regression
|
|
url: mllib-isotonic-regression.html
|
|
- text: Collaborative filtering
|
|
url: mllib-collaborative-filtering.html
|
|
subitems:
|
|
- text: alternating least squares (ALS)
|
|
url: mllib-collaborative-filtering.html#collaborative-filtering
|
|
- text: Clustering
|
|
url: mllib-clustering.html
|
|
subitems:
|
|
- text: k-means
|
|
url: mllib-clustering.html#k-means
|
|
- text: Gaussian mixture
|
|
url: mllib-clustering.html#gaussian-mixture
|
|
- text: power iteration clustering (PIC)
|
|
url: mllib-clustering.html#power-iteration-clustering-pic
|
|
- text: latent Dirichlet allocation (LDA)
|
|
url: mllib-clustering.html#latent-dirichlet-allocation-lda
|
|
- text: streaming k-means
|
|
url: mllib-clustering.html#streaming-k-means
|
|
- text: Dimensionality reduction
|
|
url: mllib-dimensionality-reduction.html
|
|
subitems:
|
|
- text: singular value decomposition (SVD)
|
|
url: mllib-dimensionality-reduction.html#singular-value-decomposition-svd
|
|
- text: principal component analysis (PCA)
|
|
url: mllib-dimensionality-reduction.html#principal-component-analysis-pca
|
|
- text: Feature extraction and transformation
|
|
url: mllib-feature-extraction.html
|
|
- text: Frequent pattern mining
|
|
url: mllib-frequent-pattern-mining.html
|
|
subitems:
|
|
- text: FP-growth
|
|
url: mllib-frequent-pattern-mining.html#fp-growth
|
|
- text: association rules
|
|
url: mllib-frequent-pattern-mining.html#association-rules
|
|
- text: PrefixSpan
|
|
url: mllib-frequent-pattern-mining.html#prefix-span
|
|
- text: Evaluation metrics
|
|
url: mllib-evaluation-metrics.html
|
|
- text: PMML model export
|
|
url: mllib-pmml-model-export.html
|
|
- text: Optimization (developer)
|
|
url: mllib-optimization.html
|
|
subitems:
|
|
- text: stochastic gradient descent
|
|
url: mllib-optimization.html#stochastic-gradient-descent-sgd
|
|
- text: limited-memory BFGS (L-BFGS)
|
|
url: mllib-optimization.html#limited-memory-bfgs-l-bfgs
|