php-ml/mkdocs.yml
Arkadiusz Kondas 18c36b971f
Mnist Dataset (#326)
* Implement MnistDataset

* Add MNIST dataset documentation
2018-11-07 08:02:56 +01:00

55 lines
2.6 KiB
YAML

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
- SVM Dataset: machine-learning/datasets/svm-dataset.md
- MNIST Dataset: machine-learning/datasets/mnist-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