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Arkadiusz Kondas 2016-05-14 21:50:48 +02:00
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16
README.md
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@ -44,17 +44,19 @@ composer require php-ai/php-ml
* [Least Squares](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/least-squares/)
* [SVR](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/svr/)
* Clustering
* [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means)
* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan)
* [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means/)
* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan/)
* Metric
* [Accuracy](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/accuracy/)
* Cross Validation
* [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split)
* [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split/)
* Preprocessing
* [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization)
* [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values)
* [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization/)
* [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values/)
* Feature Extraction
* [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer)
* [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer/)
* Datasets
* [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset)
* [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset/)
* Ready to use:
* [Iris](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/iris/)
* [Wine](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/wine/)

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docs/index.md
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@ -44,17 +44,19 @@ composer require php-ai/php-ml
* [Least Squares](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/least-squares/)
* [SVR](http://php-ml.readthedocs.io/en/latest/machine-learning/regression/svr/)
* Clustering
* [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means)
* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan)
* [k-Means](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/k-means/)
* [DBSCAN](http://php-ml.readthedocs.io/en/latest/machine-learning/clustering/dbscan/)
* Metric
* [Accuracy](http://php-ml.readthedocs.io/en/latest/machine-learning/metric/accuracy/)
* Cross Validation
* [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split)
* [Random Split](http://php-ml.readthedocs.io/en/latest/machine-learning/cross-validation/random-split/)
* Preprocessing
* [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization)
* [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values)
* [Normalization](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/normalization/)
* [Imputation missing values](http://php-ml.readthedocs.io/en/latest/machine-learning/preprocessing/imputation-missing-values/)
* Feature Extraction
* [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer)
* [Token Count Vectorizer](http://php-ml.readthedocs.io/en/latest/machine-learning/feature-extraction/token-count-vectorizer/)
* Datasets
* [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset)
* [CSV](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/csv-dataset/)
* Ready to use:
* [Iris](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/iris/)
* [Wine](http://php-ml.readthedocs.io/en/latest/machine-learning/datasets/demo/wine/)

10
mkdocs.yml
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@ -12,8 +12,13 @@ pages:
- Clustering:
- KMeans: machine-learning/clustering/k-means.md
- DBSCAN: machine-learning/clustering/dbscan.md
- Metric:
- Accuracy: machine-learning/metric/accuracy.md
- Cross Validation:
- RandomSplit: machine-learning/cross-validation/random-split.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
- Datasets:
@ -21,9 +26,10 @@ pages:
- CSV Dataset: machine-learning/datasets/csv-dataset.md
- Ready to use datasets:
- Iris: machine-learning/datasets/demo/iris.md
- Metric:
- Accuracy: machine-learning/metric/accuracy.md
- Wine: machine-learning/datasets/demo/wine.md
- Glass: machine-learning/datasets/demo/glass.md
- Math:
- Distance: math/distance.md
- Matrix: math/matrix.md
- Statistic: math/statistic.md
theme: readthedocs