### Install Rumale::MetricLearning Gem directly

Source: https://github.com/yoshoku/rumale/blob/main/rumale-metric_learning/README.md

Install the `rumale-metric_learning` gem globally or for the current user using the `gem install` command.

```Shell
$ gem install rumale-metric_learning
```

--------------------------------

### Install Ruby Gems with Bundler

Source: https://github.com/yoshoku/rumale/blob/main/rumale-metric_learning/README.md

Execute `bundle install` in your project directory to install all dependencies listed in the Gemfile, including `rumale-metric_learning`.

```Shell
$ bundle install
```

--------------------------------

### Install Rumale Gem

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Instructions for installing the Rumale machine learning library using Bundler by adding it to your Gemfile, or directly via the `gem install` command.

```ruby
gem 'rumale'
```

```bash
$ bundle
```

```bash
$ gem install rumale
```

--------------------------------

### Install Rumale::ModelSelection Gem

Source: https://github.com/yoshoku/rumale/blob/main/rumale-model_selection/README.md

Instructions for installing the `rumale-model_selection` gem, either by adding it to your Ruby project's Gemfile and running `bundle install` or by installing it directly via `gem install`.

```Ruby
gem 'rumale-model_selection'
```

```Shell
$ bundle install
```

```Shell
$ gem install rumale-model_selection
```

--------------------------------

### Install Rumale Ruby Machine Learning Library

Source: https://github.com/yoshoku/rumale/blob/main/rumale/README.md

Instructions for installing the Rumale machine learning library in Ruby. This includes adding it to your Gemfile, running bundle install, or installing it directly via gem install.

```Ruby
gem 'rumale'
```

```Shell
$ bundle install
```

```Shell
$ gem install rumale
```

--------------------------------

### Install Ruby Gems with Bundler

Source: https://github.com/yoshoku/rumale/blob/main/rumale-kernel_approximation/README.md

Execute this command in your project directory to install all gems listed in your Gemfile, including 'rumale-kernel_approximation'.

```shell
bundle install
```

--------------------------------

### Install Rumale::Pipeline Ruby Gem

Source: https://github.com/yoshoku/rumale/blob/main/rumale-pipeline/README.md

Instructions for installing the Rumale::Pipeline gem, either by adding it to a Gemfile and running bundle install, or by installing it directly via the gem command. These steps ensure the gem is available for use in your Ruby projects.

```Ruby
gem 'rumale-pipeline'
```

```Shell
$ bundle install
```

```Shell
$ gem install rumale-pipeline
```

--------------------------------

### Install Rumale::Core Gem

Source: https://github.com/yoshoku/rumale/blob/main/rumale-core/README.md

Instructions for adding Rumale::Core to a Ruby project's Gemfile or installing it directly via command line.

```ruby
gem 'rumale-core'
```

```bash
$ bundle install
```

```bash
$ gem install rumale-core
```

--------------------------------

### Install Numo::TinyLinalg Gem

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Instructions to install Numo::TinyLinalg, a lightweight subset of Numo::Linalg optimized for machine learning, which includes OpenBLAS.

```bash
gem install numo-tiny_linalg
```

--------------------------------

### Install Ruby Gems with Bundler

Source: https://github.com/yoshoku/rumale/blob/main/rumale-naive_bayes/README.md

Execute this command in your terminal to install all dependencies listed in your Gemfile, including 'rumale-naive_bayes'.

```shell
$ bundle install
```

--------------------------------

### Install Rumale::Tree Gem (Direct)

Source: https://github.com/yoshoku/rumale/blob/main/rumale-tree/README.md

Install the Rumale::Tree gem directly from the command line without using a Gemfile.

```Shell
$ gem install rumale-tree
```

--------------------------------

### Install Rumale::Decomposition via Command Line

Source: https://github.com/yoshoku/rumale/blob/main/rumale-decomposition/README.md

Provides instructions for installing the Rumale::Decomposition gem using either Bundler for projects with a Gemfile or directly via the RubyGems package manager.

```Shell
$ bundle install
```

```Shell
$ gem install rumale-decomposition
```

--------------------------------

### Install Rumale::KernelMachine Gem Directly

Source: https://github.com/yoshoku/rumale/blob/main/rumale-kernel_machine/README.md

Installs the 'rumale-kernel_machine' gem directly from RubyGems, making it available system-wide or in the current Ruby environment.

```bash
$ gem install rumale-kernel_machine
```

--------------------------------

### Install Rumale::EvaluationMeasure Gem directly

Source: https://github.com/yoshoku/rumale/blob/main/rumale-evaluation_measure/README.md

Installs the 'rumale-evaluation_measure' gem globally or to your user's gem path, without using Bundler, making it available system-wide.

```Shell
$ gem install rumale-evaluation_measure
```

--------------------------------

### Execute Bundle Install for Ruby Gem

Source: https://github.com/yoshoku/rumale/blob/main/rumale-kernel_machine/README.md

Runs Bundler to install all gems listed in the Gemfile, including 'rumale-kernel_machine', ensuring all dependencies are met.

```bash
$ bundle install
```

--------------------------------

### Install Rumale::MetricLearning via Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-metric_learning/README.md

Add the `rumale-metric_learning` gem to your Ruby project's Gemfile to include it as a dependency for your application.

```Ruby
gem 'rumale-metric_learning'
```

--------------------------------

### Install Project Dependencies using Bundler

Source: https://github.com/yoshoku/rumale/blob/main/rumale-preprocessing/README.md

After adding the gem to your `Gemfile`, execute this command in your terminal to install all declared Ruby dependencies, including `rumale-preprocessing`.

```Shell
$ bundle install
```

--------------------------------

### Install Parallel Gem

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Instructions to install the Parallel gem, which enables parallel processing support for various estimators within Rumale.

```bash
gem install parallel
```

--------------------------------

### Install Ruby Gems with Bundler

Source: https://github.com/yoshoku/rumale/blob/main/rumale-ensemble/README.md

Executes Bundler to install all gems specified in your project's Gemfile, including 'rumale-ensemble'. This command ensures all project dependencies are met and installed correctly.

```shell
$ bundle install
```

--------------------------------

### Install Rumale::Tree Gem (Bundle)

Source: https://github.com/yoshoku/rumale/blob/main/rumale-tree/README.md

After adding the gem to your Gemfile, execute this command in your terminal to install the gem and its dependencies.

```Shell
$ bundle install
```

--------------------------------

### Install Rumale::Preprocessing Gem Globally

Source: https://github.com/yoshoku/rumale/blob/main/rumale-preprocessing/README.md

Alternatively, you can install the `rumale-preprocessing` gem directly to your system's Ruby environment using this command, without needing a `Gemfile`.

```Shell
$ gem install rumale-preprocessing
```

--------------------------------

### Install Rumale::LinearModel Gem

Source: https://github.com/yoshoku/rumale/blob/main/rumale-linear_model/README.md

Instructions for adding the Rumale::LinearModel gem to a Ruby project's Gemfile or installing it directly via the command line.

```Ruby
gem 'rumale-linear_model'
```

```Shell
$ bundle install
```

```Shell
$ gem install rumale-linear_model
```

--------------------------------

### Download Pendigits Dataset for Rumale Examples

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Bash commands to download the pendigits dataset in LIBSVM format, which is required for running the classification examples provided in the Rumale documentation.

```bash
$ wget https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/pendigits
```

```bash
$ wget https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass/pendigits.t
```

--------------------------------

### Install Rumale::Ensemble Gem Manually

Source: https://github.com/yoshoku/rumale/blob/main/rumale-ensemble/README.md

Installs the 'rumale-ensemble' gem directly from RubyGems using the 'gem' command. This method is suitable for global installation or when not using Bundler for dependency management.

```shell
$ gem install rumale-ensemble
```

--------------------------------

### Install Rumale Kernel Approximation Gem Globally

Source: https://github.com/yoshoku/rumale/blob/main/rumale-kernel_approximation/README.md

Use this command to install the 'rumale-kernel_approximation' gem directly to your system's Ruby gem repository, making it available globally.

```shell
gem install rumale-kernel_approximation
```

--------------------------------

### Install Rumale Naive Bayes Gem Directly

Source: https://github.com/yoshoku/rumale/blob/main/rumale-naive_bayes/README.md

This command allows you to install the 'rumale-naive_bayes' gem directly from the command line without using a Gemfile.

```shell
$ gem install rumale-naive_bayes
```

--------------------------------

### Install Ruby Gems with Bundler

Source: https://github.com/yoshoku/rumale/blob/main/rumale-evaluation_measure/README.md

Executes Bundler to install all gems listed in the Gemfile, including 'rumale-evaluation_measure', ensuring all project dependencies are met.

```Shell
$ bundle install
```

--------------------------------

### Install Rumale::NearestNeighbors Gem

Source: https://github.com/yoshoku/rumale/blob/main/rumale-nearest_neighbors/README.md

Instructions for adding the Rumale::NearestNeighbors gem to a Ruby project's Gemfile or installing it directly via the command line.

```Ruby
gem 'rumale-nearest_neighbors'
```

```Shell
$ bundle install
```

```Shell
$ gem install rumale-nearest_neighbors
```

--------------------------------

### Install Rumale::FeatureExtraction Gem from Command Line

Source: https://github.com/yoshoku/rumale/blob/main/rumale-feature_extraction/README.md

Installs the Rumale::FeatureExtraction gem using Bundler to resolve dependencies or directly via the gem command.

```Shell
$ bundle install
```

```Shell
$ gem install rumale-feature_extraction
```

--------------------------------

### Install Rumale::Clustering Dependencies with Bundler

Source: https://github.com/yoshoku/rumale/blob/main/rumale-clustering/README.md

After adding the gem to your Gemfile, execute this command in your terminal to install all project dependencies, including Rumale::Clustering.

```Shell
$ bundle install
```

--------------------------------

### Install Rumale::Clustering Gem Directly

Source: https://github.com/yoshoku/rumale/blob/main/rumale-clustering/README.md

Alternatively, you can install the Rumale::Clustering gem directly to your system's Ruby environment using the gem command.

```Shell
$ gem install rumale-clustering
```

--------------------------------

### Install Rumale::NeuralNetwork gem directly

Source: https://github.com/yoshoku/rumale/blob/main/rumale-neural_network/README.md

Installs the 'rumale-neural_network' gem globally or to your user's gem path using the RubyGems package manager, without requiring a Gemfile.

```Shell
$ gem install rumale-neural_network
```

--------------------------------

### Install Rumale::KernelMachine via Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-kernel_machine/README.md

Adds the 'rumale-kernel_machine' gem to your Ruby project's Gemfile, allowing Bundler to manage its dependencies and installation.

```ruby
gem 'rumale-kernel_machine'
```

--------------------------------

### Install Numo::Linalg Gem

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Instructions to install the Numo::Linalg gem, which provides BLAS/LAPACK capabilities for Numo::NArray, accelerating matrix and vector operations in Rumale.

```bash
gem install numo-linalg
```

--------------------------------

### Install Ruby gem dependencies with Bundler

Source: https://github.com/yoshoku/rumale/blob/main/rumale-neural_network/README.md

Executes Bundler to install all gems listed in your project's Gemfile, ensuring all dependencies, including 'rumale-neural_network', are met.

```Shell
$ bundle install
```

--------------------------------

### Install Rumale::Manifold Ruby Gem

Source: https://github.com/yoshoku/rumale/blob/main/rumale-manifold/README.md

Instructions for adding the Rumale::Manifold gem to a Ruby project's Gemfile and installing it using Bundler or directly via the gem command line tool.

```Ruby
gem 'rumale-manifold'
```

```Shell
$ bundle install
```

```Shell
$ gem install rumale-manifold
```

--------------------------------

### Configure Rumale Estimator for Parallel Processing

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Example of initializing a Rumale estimator, such as RandomForestClassifier, with the `n_jobs` parameter set to -1 to utilize all available CPU cores for parallel execution.

```ruby
estimator = Rumale::Ensemble::RandomForestClassifier.new(n_jobs: -1, random_seed: 1)
```

--------------------------------

### Install Rumale::Tree Gem (Gemfile)

Source: https://github.com/yoshoku/rumale/blob/main/rumale-tree/README.md

Add the Rumale::Tree gem to your application's Gemfile to include it as a dependency for your Ruby project.

```Ruby
gem 'rumale-tree'
```

--------------------------------

### Add Rumale::NeuralNetwork to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-neural_network/README.md

Specifies the 'rumale-neural_network' gem as a dependency in your Ruby project's Gemfile, allowing Bundler to manage its installation.

```Ruby
gem 'rumale-neural_network'
```

--------------------------------

### Execute Rumale Training and Testing Scripts

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Bash commands to run the Ruby scripts for training and testing the Linear SVM classifier on the pendigits dataset, demonstrating the full workflow.

```bash
$ ruby train.rb
```

```bash
$ ruby test.rb
```

--------------------------------

### Load Numo::Linalg and Rumale in Ruby

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Ruby code to load Numo::Linalg (with autoloader) and Rumale, enabling accelerated linear algebra operations for machine learning algorithms.

```ruby
require 'numo/linalg/autoloader'
require 'rumale'
```

--------------------------------

### Load Numo::TinyLinalg and Rumale in Ruby

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Ruby code to load Numo::TinyLinalg and alias it to Numo::Linalg, then load Rumale, providing a simplified BLAS/LAPACK backend for machine learning algorithms.

```ruby
require 'numo/tiny_linalg'

Numo::Linalg = Numo::TinyLinalg

require 'rumale'
```

--------------------------------

### Add Rumale::Preprocessing to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-preprocessing/README.md

To include `rumale-preprocessing` in your Ruby project, add this line to your `Gemfile` to declare it as a dependency.

```Ruby
gem 'rumale-preprocessing'
```

--------------------------------

### Load Parallel Gem and Rumale in Ruby

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Ruby code to load the Parallel gem along with Rumale, enabling the use of multi-core processing for supported Rumale estimators.

```ruby
require 'parallel'
require 'rumale'
```

--------------------------------

### Classify and Evaluate Pendigits Dataset with Trained Rumale SVM

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Ruby code to load a testing dataset, retrieve previously saved Rumale transformer and classifier models, apply the transformation to the testing data, and evaluate the classifier's accuracy.

```ruby
require 'rumale'

# Load the testing dataset.
samples, labels = Rumale::Dataset.load_libsvm_file('pendigits.t')

# Load the model.
transformer = Marshal.load(File.binread('transformer.dat'))
classifier = Marshal.load(File.binread('classifier.dat'))

# Map testing data to RBF kernel feature space.
transformed = transformer.transform(samples)

# Classify the testing data and evaluate prediction results.
puts("Accuracy: %.1f%%" % (100.0 * classifier.score(transformed, labels)))

# Other evaluating approach
# results = classifier.predict(transformed)
# evaluator = Rumale::EvaluationMeasure::Accuracy.new
# puts("Accuracy: %.1f%%" % (100.0 * evaluator.score(results, labels)))
```

--------------------------------

### Add Rumale Kernel Approximation to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-kernel_approximation/README.md

This snippet adds the 'rumale-kernel_approximation' gem to your Ruby project's Gemfile, allowing Bundler to manage its dependency.

```ruby
gem 'rumale-kernel_approximation'
```

--------------------------------

### Execute Rumale Cross-Validation Script

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Bash command to run the Ruby script that performs 5-fold cross-validation using Rumale's Logistic Regression model.

```bash
$ ruby cross_validation.rb
```

--------------------------------

### Train Linear SVM Classifier with RBF Kernel in Rumale

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Ruby code demonstrating how to load a LIBSVM dataset, apply an RBF kernel approximation for feature transformation, train a Linear SVM classifier, and then save the trained transformer and classifier models to files for later use.

```ruby
require 'rumale'

# Load the training dataset.
samples, labels = Rumale::Dataset.load_libsvm_file('pendigits')

# Map training data to RBF kernel feature space.
transformer = Rumale::KernelApproximation::RBF.new(gamma: 0.0001, n_components: 1024, random_seed: 1)
transformed = transformer.fit_transform(samples)

# Train linear SVM classifier.
classifier = Rumale::LinearModel::SVC.new(reg_param: 0.0001)
classifier.fit(transformed, labels)

# Save the model.
File.open('transformer.dat', 'wb') { |f| f.write(Marshal.dump(transformer)) }
File.open('classifier.dat', 'wb') { |f| f.write(Marshal.dump(classifier)) }
```

--------------------------------

### Add Rumale::Clustering Gem to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-clustering/README.md

To include Rumale::Clustering as a dependency in your Ruby application, add this line to your project's Gemfile.

```Ruby
gem 'rumale-clustering'
```

--------------------------------

### Add Rumale Naive Bayes to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-naive_bayes/README.md

This snippet shows how to add the 'rumale-naive_bayes' gem to your Ruby application's Gemfile, allowing you to manage its dependency.

```ruby
gem 'rumale-naive_bayes'
```

--------------------------------

### Perform 5-Fold Cross-Validation with Rumale Logistic Regression

Source: https://github.com/yoshoku/rumale/blob/main/README.md

Ruby code demonstrating how to set up and perform 5-fold stratified cross-validation using Rumale. It loads a dataset, defines a Logistic Regression estimator, specifies an accuracy evaluator and a stratified k-fold splitter, and then executes the cross-validation to report the mean accuracy.

```ruby
require 'rumale'

# Load dataset.
samples, labels = Rumale::Dataset.load_libsvm_file('pendigits')

# Define the estimator to be evaluated.
lr = Rumale::LinearModel::LogisticRegression.new

# Define the evaluation measure, splitting strategy, and cross validation.
ev = Rumale::EvaluationMeasure::Accuracy.new
kf = Rumale::ModelSelection::StratifiedKFold.new(n_splits: 5, shuffle: true, random_seed: 1)
cv = Rumale::ModelSelection::CrossValidation.new(estimator: lr, splitter: kf, evaluator: ev)

# Perform 5-cross validation.
report = cv.perform(samples, labels)

# Output result.
mean_accuracy = report[:test_score].sum / kf.n_splits
puts "5-CV mean accuracy: %.1f%%" % (100.0 * mean_accuracy)
```

--------------------------------

### Add Rumale::Ensemble to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-ensemble/README.md

Adds the 'rumale-ensemble' gem as a dependency to your Ruby project's Gemfile. This is the standard way to manage Ruby library dependencies within an application.

```ruby
gem 'rumale-ensemble'
```

--------------------------------

### Add Rumale::EvaluationMeasure to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-evaluation_measure/README.md

Adds the 'rumale-evaluation_measure' gem to your Ruby project's Gemfile, allowing you to manage it as a dependency.

```Ruby
gem 'rumale-evaluation_measure'
```

--------------------------------

### Add Rumale::Decomposition to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-decomposition/README.md

Adds the Rumale::Decomposition gem to your Ruby project's Gemfile for dependency management, ensuring it's included in your application's dependencies.

```Ruby
gem 'rumale-decomposition'
```

--------------------------------

### Add Rumale::FeatureExtraction to Gemfile

Source: https://github.com/yoshoku/rumale/blob/main/rumale-feature_extraction/README.md

Adds the Rumale::FeatureExtraction gem to your Ruby project's Gemfile to manage dependencies.

```Ruby
gem 'rumale-feature_extraction'
```

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