Method List
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array_to_hash Liblinear::Example
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#bias Liblinear::Model
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#bias Liblinear::Problem
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check_parameter Liblinear
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#class_size Liblinear::Model
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#cost Liblinear::Parameter
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cross_validation Liblinear
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decision_function_bias Liblinear
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decision_function_coefficient Liblinear
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decode Liblinear::Array::Integer
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decode Liblinear::Array::Double
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#decode Liblinear::Array
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default_epsilon Liblinear::Parameter
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#delete Liblinear::FeatureNodeMatrix
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#delete Liblinear::Array
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delete Liblinear::Array::Integer
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#delete Liblinear::FeatureNode
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delete Liblinear::Array::Double
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#epsilon Liblinear::Parameter
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#example_matrix Liblinear::Problem
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#example_size Liblinear::Problem
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#feature_size Liblinear::Model
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#feature_weights Liblinear::Model
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#initialize Liblinear::Array::Double
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#initialize Liblinear::Array::Integer
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#initialize Liblinear::FeatureNodeMatrix
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#initialize Liblinear::FeatureNode
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#initialize Liblinear::Parameter
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#initialize Liblinear::Problem
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#labels Liblinear::Model
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labels Liblinear
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#labels Liblinear::Problem
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#load Liblinear::Model
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load Liblinear::Model
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max_feature_id Liblinear::Example
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#max_feature_id Liblinear::Problem
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predict Liblinear
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predict_probabilities Liblinear
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predict_values Liblinear
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#probability_model? Liblinear::Model
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#regression_model? Liblinear::Model
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#save Liblinear::Model
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#sensitive_loss Liblinear::Parameter
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#solver_type Liblinear::Parameter
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#swig Liblinear::Parameter
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#swig Liblinear::Problem
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#swig Liblinear::Model
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#swig Liblinear::Array
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#swig Liblinear::FeatureNodeMatrix
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#swig Liblinear::FeatureNode
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train Liblinear::Model
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train Liblinear
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#train Liblinear::Model
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#weight_labels Liblinear::Parameter
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#weights Liblinear::Parameter