model_spec.rb in rb-libsvm-1.0.6

- old
+ new
@@ -1,95 +1,95 @@
 require "spec_helper"
 
 module ModelSpecHelper
 
-	def create_example
-		Node.features(0.2, 0.3, 0.4, 0.5)
-	end
+  def create_example
+    Node.features(0.2, 0.3, 0.4, 0.5)
+  end
 
-	def create_problem
-		problem = Problem.new
-		features = [Node.features([0.2,0.3,0.4,0.4]),
-								Node.features([0.1,0.5,0.1,0.9]),
-								Node.features([0.2,0.2,0.6,0.5]),
-								Node.features([0.3,0.1,0.5,0.9])]
-		problem.set_examples([1,2,1,2], features)
-		problem
-	end
+  def create_problem
+    problem = Problem.new
+    features = [Node.features([0.2,0.3,0.4,0.4]),
+                Node.features([0.1,0.5,0.1,0.9]),
+                Node.features([0.2,0.2,0.6,0.5]),
+                Node.features([0.3,0.1,0.5,0.9])]
+    problem.set_examples([1,2,1,2], features)
+    problem
+  end
 
-	def create_parameter
-		parameter = SvmParameter.new
-		parameter.cache_size = 50 # mb
-		parameter.eps = 0.01
-		parameter.c = 10
-		parameter
-	end
+  def create_parameter
+    parameter = SvmParameter.new
+    parameter.cache_size = 50 # mb
+    parameter.eps = 0.01
+    parameter.c = 10
+    parameter
+  end
 
 end
 
 describe "The Libsvm::Model class interface" do
-	include ModelSpecHelper
+  include ModelSpecHelper
 
-	before(:each) do
-		@problem = create_problem
-		@parameter = create_parameter
-	end
+  before(:each) do
+    @problem = create_problem
+    @parameter = create_parameter
+  end
 
-	it "results from training on a problem under a certain parameter set" do
-		model = Model.train(@problem,@parameter)
-		model.should_not be_nil
-	end
+  it "results from training on a problem under a certain parameter set" do
+    model = Model.train(@problem,@parameter)
+    model.should_not be_nil
+  end
 
-	it "can do cross-validation" do
-		labels = Model.cross_validation(@problem, @parameter, fold=2)
-		labels.should == [anything, anything, anything, anything]
-	end
+  it "can do cross-validation" do
+    labels = Model.cross_validation(@problem, @parameter, fold=2)
+    labels.should == [anything, anything, anything, anything]
+  end
 end
 
 describe "A saved model" do
-	include ModelSpecHelper
+  include ModelSpecHelper
 
-	before(:each) do
-		@filename = "svm_model.model"
-		model = Model.train(create_problem, create_parameter)
-		model.save(@filename)
-	end
+  before(:each) do
+    @filename = "svm_model.model"
+    model = Model.train(create_problem, create_parameter)
+    model.save(@filename)
+  end
 
-	it "can be loaded" do
-		model = Model.load(@filename)
-		model.should_not be_nil
-	end
+  it "can be loaded" do
+    model = Model.load(@filename)
+    model.should_not be_nil
+  end
 
-	after(:each) do
-		File.delete(@filename) rescue nil
-	end
+  after(:each) do
+    File.delete(@filename) rescue nil
+  end
 end
 
 describe "An Libsvm model" do
-	include ModelSpecHelper
+  include ModelSpecHelper
 
-	before(:each) do
-		@problem = create_problem
-		@parameter = create_parameter
-		@model = Model.train(@problem, @parameter)
-	end
+  before(:each) do
+    @problem = create_problem
+    @parameter = create_parameter
+    @model = Model.train(@problem, @parameter)
+  end
 
-	it "can be saved to a file" do
-		file_path = "svm_model.model"
-		@model.save(file_path)
-		File.exist?(file_path).should be_true
-	end
+  it "can be saved to a file" do
+    file_path = "svm_model.model"
+    @model.save(file_path)
+    File.exist?(file_path).should be_true
+  end
 
-	it "can be asked for it's svm_type" do
-		@model.svm_type.should == SvmType::C_SVC
-	end
+  it "can be asked for it's svm_type" do
+    @model.svm_type.should == SvmType::C_SVC
+  end
 
-	it "can be asked for it's number of classes (aka. labels)" do
-		@model.classes.should == 2
-	end
+  it "can be asked for it's number of classes (aka. labels)" do
+    @model.classes.should == 2
+  end
 
-	it "can predict" do
-		prediction = @model.predict(create_example)
-		prediction.should_not be_nil
-	end
+  it "can predict" do
+    prediction = @model.predict(create_example)
+    prediction.should_not be_nil
+  end
 end
 