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