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| Original file line number | Diff line number | Diff line change |
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| check_printable(value) = typeof(value) <: Array || typeof(value) <: Mode | ||
| print_value(value) = check_printable(value) ? summary(value) : value | ||
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| show(io::IO, t::PEGASOS) = @printf io "%s (%s)" typeof(t) "Pegasos: Primal Estimated sub-GrAdient SOlver for SVM" | ||
| show(io::IO, t::L1RDA) = @printf io "%s (%s)" typeof(t) "l1-Regularized Dual Averaging" | ||
| show(io::IO, t::R_L1RDA) = @printf io "%s (%s)" typeof(t) "Reweighted l1-Regularized Dual Averaging" | ||
| show(io::IO, t::R_L2RDA) = @printf io "%s (%s)" typeof(t) "Reweighted l2-Regularized Dual Averaging" | ||
| show(io::IO, t::ADA_L1RDA) = @printf io "%s (%s)" typeof(t) "Adaptive l1-Regularized Dual Averaging" | ||
| show(io::IO, t::DROP_OUT) = @printf io "%s (%s)" typeof(t) "Dropout Pegasos (experimental)" | ||
| show(io::IO, t::SIMPLE_SGD) = @printf io "%s (%s)" typeof(t) "Stochastic Gradient Descent" | ||
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| show(io::IO, t::MSE) = @printf io "%s (%s)" typeof(t) "Mean Squared Error" | ||
| show(io::IO, t::MISCLASS) = @printf io "%s (%s)" typeof(t) "Misclassification Rate" | ||
| show(io::IO, t::SILHOUETTE) = @printf io "%s (%s)" typeof(t) "Silhouette Index" | ||
| show(io::IO, t::AUC) = @printf io "%s (%s with %d thresholds)" typeof(t) "Area Under ROC Curve" t.n_thresholds | ||
| show(io::IO, t::CSA) = @printf io "%s (%s)" typeof(t) "Coupled Simulated Annealing" | ||
| show(io::IO, t::DS) = @printf io "%s (%s)" typeof(t) "Directional Search" | ||
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| show(io::IO, t::Type{HINGE}) = @printf io "SALSA.HINGE (%s)" "Hinge Loss, i.e. l(y,p) = max(0,1 - yp)" | ||
| show(io::IO, t::Type{LOGISTIC}) = @printf io "SALSA.LOGISTIC (%s)" "Logistic Loss, i.e. l(y,p) = log(1 + exp(-yp))" | ||
| show(io::IO, t::Type{LEAST_SQUARES}) = @printf io "SALSA.LEAST_SQUARES (%s)" "Squared Loss, i.e. l(y,p) = 1/2*(p - y)^2" | ||
| show(io::IO, t::Type{SQUARED_HINGE}) = @printf io "SALSA.SQUARED_HINGE (%s)" "Squared Hinge Loss, i.e. l(y,p) = max(0,1 - yp)^2" | ||
| show(io::IO, t::Type{PINBALL}) = @printf io "SALSA.PINBALL (%s)" "Pinball (quantile) Loss, i.e. l(y,p) = τI(yp>=1)yp + I(yp<1)(1 - yp)" | ||
| show(io::IO, t::Type{MODIFIED_HUBER}) = @printf io "SALSA.MODIFIED_HUBER (%s)" "Modified Huber Loss, i.e. l(y,p) = -4I(yp<-1)yp + I(yp>=-1)max(0,1 - yp)^2" | ||
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| show(io::IO, t::Type{RBFKernel}) = @printf io "SALSA.RBFKernel (%s)" "Radial Basis Function kernel, i.e. k(x,y) = exp(-||x - y||^2/(2σ^2))" | ||
| show(io::IO, t::Type{PolynomialKernel}) = @printf io "SALSA.PolynomialKernel (%s)" "Polynomial kernel, i.e. k(x,y) = (<x,y> + τ)^d" | ||
| show(io::IO, t::Type{LinearKernel}) = @printf io "SALSA.LinearKernel (%s)" "Linear kernel, i.e. k(x,y) = <x,y>" | ||
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| function show(io::IO, model::SALSAModel) | ||
| print_with_color(:blue, io, "SALSA model:\n") | ||
| for field in fieldnames(model) | ||
| value = getfield(model,field) | ||
| field == :output ? println() : @printf io "\t%s : %s\n" field print_value(value) | ||
| end | ||
| print_with_color(:blue, io, "SALSA model.output:\n") | ||
| for field in fieldnames(model.output) | ||
| if isdefined(model.output,field) | ||
| value = getfield(model.output,field) | ||
| @printf io "\t%s : %s\n" field print_value(value) | ||
| end | ||
| end | ||
| end |
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