Rubygems | Latest Versions for rumalehttps://rubygems.org/gems2024-03-30T01:41:03Zrumale (0.29.0)https://rubygems.org/gems/rumale/versions/0.29.02024-03-30T01:41:02ZyoshokuRumale is a machine learning library in Ruby. Rumale supports Support Vector Machine, Logistic Regression, Multi-layer Perceptron, Naive Bayes, Decision Tree, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Principal Component Analysis, and many other algorithms.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.28.1)https://rubygems.org/gems/rumale/versions/0.28.12023-12-24T07:20:11ZyoshokuRumale is a machine learning library in Ruby. Rumale supports Support Vector Machine, Logistic Regression, Multi-layer Perceptron, Naive Bayes, Decision Tree, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Principal Component Analysis, and many other algorithms.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.28.0)https://rubygems.org/gems/rumale/versions/0.28.02023-11-12T00:35:02ZyoshokuRumale is a machine learning library in Ruby. Rumale supports Support Vector Machine, Logistic Regression, Multi-layer Perceptron, Naive Bayes, Decision Tree, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Principal Component Analysis, and many other algorithms.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.27.0)https://rubygems.org/gems/rumale/versions/0.27.02023-08-26T15:16:45ZyoshokuRumale is a machine learning library in Ruby. Rumale supports Support Vector Machine, Logistic Regression, Multi-layer Perceptron, Naive Bayes, Decision Tree, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Principal Component Analysis, and many other algorithms.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.26.0)https://rubygems.org/gems/rumale/versions/0.26.02023-02-19T12:36:31ZyoshokuRumale is a machine learning library in Ruby. Rumale supports Support Vector Machine, Logistic Regression, Multi-layer Perceptron, Naive Bayes, Decision Tree, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Principal Component Analysis, and many other algorithms.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.25.0)https://rubygems.org/gems/rumale/versions/0.25.02023-01-18T14:54:02ZyoshokuRumale is a machine learning library in Ruby. Rumale supports Support Vector Machine, Logistic Regression, Multi-layer Perceptron, Naive Bayes, Decision Tree, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Principal Component Analysis, and many other algorithms.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.24.0)https://rubygems.org/gems/rumale/versions/0.24.02022-12-31T15:18:24ZyoshokuRumale is a machine learning library in Ruby. Rumale supports Support Vector Machine, Logistic Regression, Multi-layer Perceptron, Naive Bayes, Decision Tree, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Principal Component Analysis, and many other algorithms.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.23.3)https://rubygems.org/gems/rumale/versions/0.23.32022-11-27T12:53:51ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.23.2)https://rubygems.org/gems/rumale/versions/0.23.22022-05-17T14:40:44ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.23.1)https://rubygems.org/gems/rumale/versions/0.23.12021-06-27T04:04:35ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.23.0)https://rubygems.org/gems/rumale/versions/0.23.02021-04-04T02:50:03ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.22.5)https://rubygems.org/gems/rumale/versions/0.22.52021-03-14T02:15:12ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.22.4)https://rubygems.org/gems/rumale/versions/0.22.42021-02-22T23:25:59ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.22.3)https://rubygems.org/gems/rumale/versions/0.22.32021-01-23T05:31:31ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.22.2)https://rubygems.org/gems/rumale/versions/0.22.22021-01-10T04:42:01ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.22.1)https://rubygems.org/gems/rumale/versions/0.22.12020-12-05T04:08:09ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.22.0)https://rubygems.org/gems/rumale/versions/0.22.02020-11-22T07:51:19ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.21.0)https://rubygems.org/gems/rumale/versions/0.21.02020-10-02T23:25:26ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.20.3)https://rubygems.org/gems/rumale/versions/0.20.32020-09-21T12:01:52ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.20.2)https://rubygems.org/gems/rumale/versions/0.20.22020-09-05T00:21:36ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.20.1)https://rubygems.org/gems/rumale/versions/0.20.12020-08-23T01:04:53ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.20.0)https://rubygems.org/gems/rumale/versions/0.20.02020-08-01T00:43:20ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.19.3)https://rubygems.org/gems/rumale/versions/0.19.32020-07-23T16:57:49ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.19.2)https://rubygems.org/gems/rumale/versions/0.19.22020-06-20T06:21:36ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.19.1)https://rubygems.org/gems/rumale/versions/0.19.12020-06-06T01:06:06ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.19.0)https://rubygems.org/gems/rumale/versions/0.19.02020-05-23T00:45:11ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.18.7)https://rubygems.org/gems/rumale/versions/0.18.72020-05-16T07:22:40ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.18.6)https://rubygems.org/gems/rumale/versions/0.18.62020-05-02T02:30:57ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.18.5)https://rubygems.org/gems/rumale/versions/0.18.52020-04-18T01:37:57ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.18.4)https://rubygems.org/gems/rumale/versions/0.18.42020-04-11T02:38:34ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.18.3)https://rubygems.org/gems/rumale/versions/0.18.32020-04-04T02:26:54ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.18.2)https://rubygems.org/gems/rumale/versions/0.18.22020-03-21T01:20:17ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.18.1)https://rubygems.org/gems/rumale/versions/0.18.12020-03-14T01:55:13ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.18.0)https://rubygems.org/gems/rumale/versions/0.18.02020-03-02T12:27:11ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE,
Fisher Discriminant Analysis, Neighbourhood Component Analysis,
Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.17.3)https://rubygems.org/gems/rumale/versions/0.17.32020-02-16T01:10:16ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.17.2)https://rubygems.org/gems/rumale/versions/0.17.22020-02-01T01:30:52ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.17.1)https://rubygems.org/gems/rumale/versions/0.17.12020-01-26T05:00:06ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.17.0)https://rubygems.org/gems/rumale/versions/0.17.02020-01-18T07:23:18ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.16.1)https://rubygems.org/gems/rumale/versions/0.16.12020-01-11T10:44:50ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.16.0)https://rubygems.org/gems/rumale/versions/0.16.02020-01-04T16:31:01ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.15.0)https://rubygems.org/gems/rumale/versions/0.15.02020-01-01T09:01:59ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.14.5)https://rubygems.org/gems/rumale/versions/0.14.52019-12-28T16:16:50ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.14.4)https://rubygems.org/gems/rumale/versions/0.14.42019-12-23T15:26:35ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.14.3)https://rubygems.org/gems/rumale/versions/0.14.32019-12-16T12:49:41ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, Non-negative Matrix Factorization,
and many other algorithms.
rumale (0.14.2)https://rubygems.org/gems/rumale/versions/0.14.22019-12-06T15:42:34ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.14.1)https://rubygems.org/gems/rumale/versions/0.14.12019-11-23T01:01:03ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.14.0)https://rubygems.org/gems/rumale/versions/0.14.02019-11-16T09:23:03ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale supports Support Vector Machine,
Logistic Regression, Ridge, Lasso, Factorization Machine,
Multi-layer Perceptron,
Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest,
K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering,
Mutidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.13.8)https://rubygems.org/gems/rumale/versions/0.13.82019-11-08T12:31:10ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Kernel Ridge, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, HDBSCAN, SNN, Spectral Clustering, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, Kernel PCA, and Non-negative Matrix Factorization.
rumale (0.13.7)https://rubygems.org/gems/rumale/versions/0.13.72019-11-02T08:35:31ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Kernel Ridge, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, HDBSCAN, SNN, Spectral Clustering, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, Kernel PCA, and Non-negative Matrix Factorization.
rumale (0.13.6)https://rubygems.org/gems/rumale/versions/0.13.62019-10-13T16:13:57ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Kernel Ridge, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, HDBSCAN, SNN, Spectral Clustering, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, Kernel PCA, and Non-negative Matrix Factorization.
rumale (0.13.5)https://rubygems.org/gems/rumale/versions/0.13.52019-10-03T12:10:38ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Kernel Ridge, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, HDBSCAN, SNN, Spectral Clustering, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, Kernel PCA, and Non-negative Matrix Factorization.
rumale (0.13.4)https://rubygems.org/gems/rumale/versions/0.13.42019-09-22T04:29:33ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Kernel Ridge, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, HDBSCAN, SNN, Spectral Clustering, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, Kernel PCA, and Non-negative Matrix Factorization.
rumale (0.13.3)https://rubygems.org/gems/rumale/versions/0.13.32019-09-15T16:03:27ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Kernel Ridge, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, SNN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, Kernel PCA, and Non-negative Matrix Factorization.
rumale (0.13.2)https://rubygems.org/gems/rumale/versions/0.13.22019-09-06T14:33:44ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, SNN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.13.1)https://rubygems.org/gems/rumale/versions/0.13.12019-09-01T04:29:25ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, SNN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.13.0)https://rubygems.org/gems/rumale/versions/0.13.02019-08-24T09:35:15ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.9)https://rubygems.org/gems/rumale/versions/0.12.92019-07-27T00:30:50ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, K-Medoids, Gaussian Mixture Model, DBSCAN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.8)https://rubygems.org/gems/rumale/versions/0.12.82019-07-15T00:05:31ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, Gaussian Mixture Model, DBSCAN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.7)https://rubygems.org/gems/rumale/versions/0.12.72019-07-14T17:17:35ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, Gaussian Mixture Model, DBSCAN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.6)https://rubygems.org/gems/rumale/versions/0.12.62019-07-13T00:31:11ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, Gaussian Mixture Model, DBSCAN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.5)https://rubygems.org/gems/rumale/versions/0.12.52019-07-02T22:31:10ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, Gaussian Mixture Model, DBSCAN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.4)https://rubygems.org/gems/rumale/versions/0.12.42019-06-29T00:25:55ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, Gaussian Mixture Model, DBSCAN, Power Iteration Clustering,
Multidimensional Scaling, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.3)https://rubygems.org/gems/rumale/versions/0.12.32019-06-22T00:30:13ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, Gaussian Mixture Model, DBSCAN, Power Iteration Clustering, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.2)https://rubygems.org/gems/rumale/versions/0.12.22019-06-15T02:35:12ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, DBSCAN, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.1)https://rubygems.org/gems/rumale/versions/0.12.12019-06-08T00:24:45ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, DBSCAN, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.12.0)https://rubygems.org/gems/rumale/versions/0.12.02019-06-01T01:34:19ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, DBSCAN, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.11.0)https://rubygems.org/gems/rumale/versions/0.11.02019-05-24T16:27:49ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, DBSCAN, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.10.0)https://rubygems.org/gems/rumale/versions/0.10.02019-05-17T23:44:50ZyoshokuRumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learning library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, DBSCAN, t-SNE, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.9.2)https://rubygems.org/gems/rumale/versions/0.9.22019-05-11T07:16:59ZyoshokuRumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learninig library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Gradient Tree Boosting, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.9.1)https://rubygems.org/gems/rumale/versions/0.9.12019-05-01T11:04:26ZyoshokuRumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learninig library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Random Forest, Extra-Trees, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.9.0)https://rubygems.org/gems/rumale/versions/0.9.02019-04-22T13:57:22ZyoshokuRumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learninig library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.8.4)https://rubygems.org/gems/rumale/versions/0.8.42019-04-20T15:26:36ZyoshokuRumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learninig library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.8.3)https://rubygems.org/gems/rumale/versions/0.8.32019-04-02T22:55:21ZyoshokuRumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learninig library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.8.2)https://rubygems.org/gems/rumale/versions/0.8.22019-03-19T15:44:19ZyoshokuRumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learninig library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.8.1)https://rubygems.org/gems/rumale/versions/0.8.12019-03-08T12:04:08ZyoshokuRumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learninig library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.
rumale (0.8.0)https://rubygems.org/gems/rumale/versions/0.8.02019-03-01T03:14:14ZyoshokuRumale is a machine learninig library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale is a machine learninig library in Ruby.
Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python.
Rumale currently supports Linear / Kernel Support Vector Machine,
Logistic Regression, Linear Regression, Ridge, Lasso, Factorization Machine,
Naive Bayes, Decision Tree, AdaBoost, Random Forest, K-nearest neighbor algorithm,
K-Means, DBSCAN, Principal Component Analysis, and Non-negative Matrix Factorization.