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  • 线性模型中的分类特征通常被转换成稀疏向量

    简介  |  TensorFlow https://tensorflow.google.cn/programmers_guide/low_level_intro

    [教程9]具有TensorFlow的大规模线性模型 - 笔记ing - 博客园 https://www.cnblogs.com/yinghuali/p/7747591.html

    import tensorflow  as tf
    
    features = {
        'sales': [[5], [10], [8], [9]],
        'department': ['sports', 'sports', 'gardening', 'gardening']}
    
    department_column = tf.feature_column.categorical_column_with_vocabulary_list(
        'department', ['sports', 'gardening'])
    department_column = tf.feature_column.indicator_column(department_column)
    
    columns = [
        tf.feature_column.numeric_column('sales'),
        department_column
    ]
    
    inputs = tf.feature_column.input_layer(features, columns)
    var_init = tf.global_variables_initializer()
    table_init = tf.tables_initializer()
    sess = tf.Session()
    sess.run((var_init, table_init))
    res = sess.run(inputs)

    构建计算图

    import tensorflow  as tf
    
    eye_color = tf.feature_column.categorical_column_with_vocabulary_list('eye_color',
                                                                          vocabulary_list=['blue', 'blown', 'green'])
    

      

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  • 原文地址:https://www.cnblogs.com/rsapaper/p/9029266.html
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