{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","id":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","uuid":"cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title":"人工智能与大数据技术导论","normalized_title":"人工智能与大数据技术导论","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787302517986","isbns":["9787302517986"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":490,"navigation_url":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","title_url":"https://workshop.closeclaw.top/ai/title/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%B8%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E6%8A%80%E6%9C%AF%E5%AF%BC%E8%AE%BA","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71","page_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cd4f7678-cd9b-4971-bde0-e9ad46a6cc71/search"},"page":{"printed_page":363,"pdf_page":379,"physical_index":379,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"08767d5a1c74f554c8010bf0cbfd2a5c79ded4ce74bcb962994bf89ab35ecc07"},"chapter":"第10章","content":"现在，我们构建一个正式的输入函数，可以将其传递给TensorFlowEstimator对象的train()方法。\n\n下面根据这些数据训练一个情感分析模型，以预测某条评价总体上是好评（标签为1）还是差评（标签为0）。为此，我们会使用词汇表，词汇表中的每个术语都与特征矢量中的一个坐标相对应。为了将样本的字符串值terms转换为这种矢量格式，我们按以下方式处理字符串值：若该术语没有出现在样本字符串中，则坐标值将为0；若出现在样本字符串中，则坐标值为1。未出现在该词汇表中的样本中的术语将被弃用。\n\n1. 线性模型\n\n对干第一个模型，我们将使用54个信息性术语来构建LinearClassifier模型。这是一个使用具有稀疏输入和显式词汇表的线性模型。以下代码将为我们的术语构建特征列。categorical\\_column\\_with\\_vocabulary\\_list函数可使用“字符串-特征矢量”映射来创建特征列。\n\n第10章 神经网络\n\n363","previous_page":362,"next_page":364}