Solved Ld poor results
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@@ -11,7 +11,7 @@ namespace bayesnet {
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Xf = X_;
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y = y_;
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// Fills vectors Xv & yv with the data from tensors X_ (discretized) & y
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fit_local_discretization(states, y);
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states = fit_local_discretization(y);
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// We have discretized the input data
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// 1st we need to fit the model to build the normal SPODE structure, SPODE::fit initializes the base Bayesian network
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SPODE::fit(dataset, features, className, states);
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@@ -27,7 +27,7 @@ namespace bayesnet {
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features = features_;
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className = className_;
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// Fills vectors Xv & yv with the data from tensors X_ (discretized) & y
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fit_local_discretization(states, y);
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states = fit_local_discretization(y);
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// We have discretized the input data
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// 1st we need to fit the model to build the normal SPODE structure, SPODE::fit initializes the base Bayesian network
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SPODE::fit(dataset, features, className, states);
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