CHAIDTreeNodeData.h

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/*
 * Copyright (c) The Shogun Machine Learning Toolbox
 * Written (w) 2014 Parijat Mazumdar
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 * 1. Redistributions of source code must retain the above copyright notice, this
 * list of conditions and the following disclaimer.
 * 2. Redistributions in binary form must reproduce the above copyright notice,
 * this list of conditions and the following disclaimer in the documentation
 * and/or other materials provided with the distribution.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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 */


#ifndef CHAIDTREENODEDATA_H__
#define CHAIDTREENODEDATA_H__

#include <shogun/lib/config.h>

namespace shogun
{
struct CHAIDTreeNodeData
{
    int32_t attribute_id;

    SGVector<float64_t> distinct_features;

    SGVector<int32_t> feature_class;

    float64_t node_label;

    float64_t total_weight;

    float64_t weight_minus_node;

    CHAIDTreeNodeData()
    {
        attribute_id=-1;
        distinct_features=SGVector<float64_t>();
        feature_class=SGVector<int32_t>();
        node_label=-1.0;
        total_weight=0.;
        weight_minus_node=0.;
    }

    static void print_data(const CHAIDTreeNodeData &data)
    {
        SG_SPRINT("classifying feature index=%d\n", data.attribute_id);
        data.distinct_features.display_vector(data.distinct_features.vector,data.distinct_features.vlen, "distinct feature values");
        data.feature_class.display_vector(data.feature_class.vector,data.feature_class.vlen, "categories of features");
        SG_SPRINT("total weight=%f\n", data.total_weight);
        SG_SPRINT("errored weight of node=%f\n", data.weight_minus_node);
    }
};


} /* shogun */

#endif /* CHAIDTREENODEDATA_H__ */