php-ml/mkdocs.yml

site_name: PHP-ML - Machine Learning library for PHP
pages:
  - Home: index.md
  - Machine Learning:
    - Association rule learning:
      - Apriori: machine-learning/association/apriori.md
    - Classification:
      - SVC: machine-learning/classification/svc.md
      - KNearestNeighbors: machine-learning/classification/k-nearest-neighbors.md
      - NaiveBayes: machine-learning/classification/naive-bayes.md
    - Regression:
      - LeastSquares: machine-learning/regression/least-squares.md
      - SVR: machine-learning/regression/svr.md
    - Clustering:
      - KMeans: machine-learning/clustering/k-means.md
      - DBSCAN: machine-learning/clustering/dbscan.md
    - Metric:
      - Accuracy: machine-learning/metric/accuracy.md
      - Confusion Matrix: machine-learning/metric/confusion-matrix.md
      - Classification Report: machine-learning/metric/classification-report.md
    - Workflow:
      - Pipeline: machine-learning/workflow/pipeline.md
    - Neural Network:
      - Multilayer Perceptron Classifier: machine-learning/neural-network/multilayer-perceptron-classifier.md
    - Cross Validation:
      - RandomSplit: machine-learning/cross-validation/random-split.md
      - Stratified Random Split: machine-learning/cross-validation/stratified-random-split.md
    - Feature Selection:
      - VarianceThreshold: machine-learning/feature-selection/variance-threshold.md
      - SelectKBest: machine-learning/feature-selection/selectkbest.md
    - Preprocessing:
      - Normalization: machine-learning/preprocessing/normalization.md
      - Imputation missing values: machine-learning/preprocessing/imputation-missing-values.md
    - Feature Extraction:
      - Token Count Vectorizer: machine-learning/feature-extraction/token-count-vectorizer.md
      - Tf-idf Transformer: machine-learning/feature-extraction/tf-idf-transformer.md
    - Datasets:
      - Array Dataset: machine-learning/datasets/array-dataset.md
      - CSV Dataset: machine-learning/datasets/csv-dataset.md
      - Files Dataset: machine-learning/datasets/files-dataset.md
      - Ready to use datasets:
        - Iris: machine-learning/datasets/demo/iris.md
        - Wine: machine-learning/datasets/demo/wine.md
        - Glass: machine-learning/datasets/demo/glass.md
    - Models management:
        - Persistency: machine-learning/model-manager/persistency.md
  - Math:
    - Distance: math/distance.md
    - Matrix: math/matrix.md
    - Set: math/set.md
    - Statistic: math/statistic.md
theme: readthedocs