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Changes done to use factory methods instead of meta examples for Issue #4043 #4115

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Changes done to use factory methods instead of meta examples for Issue #4043 #4115

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Changes done to use factory methods instead of meta examples
prashanthduvvada Jan 23, 2018
8fdd6a9
Small update in Ruby section of INTERFACES.md file
prashanthduvvada Jan 27, 2018
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1 change: 1 addition & 0 deletions doc/readme/INTERFACES.md
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Expand Up @@ -58,6 +58,7 @@ Running an example:

### Ruby
This needs `shogun.rb` to be visible, which is either in `path/to/build/src/interfaces/ruby_modular/` or in something similar to `path/to/shogun-install/lib/x86_64-linux-gnu/site_ruby`

export RUBYLIB="path/to/shogun.rb:$RUBYLIB"

Running an example:
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14 changes: 10 additions & 4 deletions examples/meta/src/evaluation/cross_validation_multiple_kernel_learning_weights_storage.sg
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Expand Up @@ -12,16 +12,22 @@ BinaryLabels labels(f_labels)

#![create_kernels]
CombinedKernel kernel()
GaussianKernel k_1(10, 0.1)
GaussianKernel k_2(10, 1)
GaussianKernel k_3(10, 2)
Kernel k_1 = kernel("GaussianKernel")
k_1.set_cache_size(10)
k_1.set_width(0.1)
Kernel k_2 = kernel("GaussianKernel")
k_2.set_cache_size(10)
k_2.set_width(1)
Kernel k_3 = kernel("GaussianKernel")
k_3.set_cache_size(10)
k_3.set_width(2)
kernel.append_kernel(k_1)
kernel.append_kernel(k_2)
kernel.append_kernel(k_3)
#![create_kernels]

#![create_classifier]
LibSVM libsvm()
KernelMachine libsvm = kernel_machine("LibSVM")
MKLClassification svm(libsvm)
svm.set_interleaved_optimization_enabled(False)
svm.set_kernel(kernel)
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3 changes: 2 additions & 1 deletion examples/meta/src/gaussian_process/classifier.sg
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Expand Up @@ -12,7 +12,8 @@ MulticlassLabels labels_test(f_labels_test)
#![create_features]

#![create_appropriate_kernel_and_mean_function]
GaussianKernel kernel(2.0)
Kernel kernel = kernel("GaussianKernel")
kernel.set_width(2.0)
ConstMean mean_function()
#![create_appropriate_kernel_and_mean_function]

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2 changes: 1 addition & 1 deletion examples/meta/src/meta_api/calls.sg
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Expand Up @@ -5,5 +5,5 @@ Math:init_random(1)
get_global_io()

# member function call
GaussianKernel k()
Kernel k = kernel("GaussianKernel")
k.set_width(1)
2 changes: 1 addition & 1 deletion examples/meta/src/multiclass/relaxed_tree.sg
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Expand Up @@ -12,7 +12,7 @@ MulticlassLabels labels_test(f_labels_test)

#![set_parameters]
MulticlassLibLinear mll()
GaussianKernel kernel()
Kernel kernel = kernel("GaussianKernel")
#![set_parameters]

#![create_instance]
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6 changes: 4 additions & 2 deletions examples/meta/src/regression/multiple_kernel_learning.sg
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Expand Up @@ -12,8 +12,10 @@ RegressionLabels labels_test(f_labels_test)

#![create_kernel]
PolyKernel poly_kernel(10,2)
GaussianKernel gauss_kernel_1(2.0)
GaussianKernel gauss_kernel_2(3.0)
Kernel gauss_kernel_1 = kernel("GaussianKernel")
k.set_width(2.0)
Kernel gauss_kernel_2 = kernel("GaussianKernel")
k.set_width(3.0)
#![create_kernel]

#![create_combined_train]
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3 changes: 2 additions & 1 deletion examples/meta/src/regression/support_vector_regression.sg
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Expand Up @@ -12,7 +12,8 @@ RegressionLabels labels_test(f_labels_test)

#![create_appropriate_kernel]
real width = 1.0
GaussianKernel kernel(width)
Kernel kernel = kernel("GaussianKernel")
kernel.set_width(width)
#![create_appropriate_kernel]

#![create_instance]
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