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update readthedocs menu
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README.md
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README.md
@ -44,17 +44,19 @@ composer require php-ai/php-ml
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* [Least Squares](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/least-squares/)
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* [Least Squares](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/least-squares/)
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* [SVR](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/svr/)
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* [SVR](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/svr/)
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* Clustering
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* Clustering
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* [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means)
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* [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means/)
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* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan)
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* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan/)
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* Metric
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* [Accuracy](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/accuracy/)
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* Cross Validation
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* Cross Validation
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* [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split)
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* [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split/)
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* Preprocessing
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* Preprocessing
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* [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization)
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* [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization/)
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* [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values)
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* [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values/)
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* Feature Extraction
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* Feature Extraction
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* [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer)
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* [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer/)
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* Datasets
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* Datasets
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* [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset)
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* [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset/)
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* Ready to use:
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* Ready to use:
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* [Iris](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/iris/)
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* [Iris](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/iris/)
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* [Wine](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/wine/)
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* [Wine](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/wine/)
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@ -44,17 +44,19 @@ composer require php-ai/php-ml
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* [Least Squares](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/least-squares/)
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* [Least Squares](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/least-squares/)
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* [SVR](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/svr/)
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* [SVR](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/svr/)
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* Clustering
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* Clustering
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* [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means)
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* [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means/)
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* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan)
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* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan/)
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* Metric
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* [Accuracy](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/accuracy/)
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* Cross Validation
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* Cross Validation
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* [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split)
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* [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split/)
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* Preprocessing
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* Preprocessing
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* [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization)
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* [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization/)
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* [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values)
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* [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values/)
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* Feature Extraction
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* Feature Extraction
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* [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer)
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* [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer/)
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* Datasets
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* Datasets
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* [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset)
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* [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset/)
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* Ready to use:
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* Ready to use:
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* [Iris](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/iris/)
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* [Iris](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/iris/)
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* [Wine](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/wine/)
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* [Wine](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/wine/)
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10
mkdocs.yml
10
mkdocs.yml
@ -12,8 +12,13 @@ pages:
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- Clustering:
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- Clustering:
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- KMeans: machine-learning/clustering/k-means.md
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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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- 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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- Cross Validation:
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- Cross Validation:
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- RandomSplit: machine-learning/cross-validation/random-split.md
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- RandomSplit: machine-learning/cross-validation/random-split.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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- Feature Extraction:
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- Token Count Vectorizer: machine-learning/feature-extraction/token-count-vectorizer.md
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- Token Count Vectorizer: machine-learning/feature-extraction/token-count-vectorizer.md
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- Datasets:
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- Datasets:
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@ -21,9 +26,10 @@ pages:
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- CSV Dataset: machine-learning/datasets/csv-dataset.md
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- CSV Dataset: machine-learning/datasets/csv-dataset.md
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- Ready to use datasets:
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- Ready to use datasets:
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- Iris: machine-learning/datasets/demo/iris.md
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- Iris: machine-learning/datasets/demo/iris.md
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- Metric:
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- Wine: machine-learning/datasets/demo/wine.md
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- Accuracy: machine-learning/metric/accuracy.md
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- Glass: machine-learning/datasets/demo/glass.md
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- Math:
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- Math:
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- Distance: math/distance.md
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- Distance: math/distance.md
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- Matrix: math/matrix.md
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- Matrix: math/matrix.md
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- Statistic: math/statistic.md
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theme: readthedocs
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theme: readthedocs
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