{"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":163,"pdf_page":179,"physical_index":179,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"ca6544b040bce2620d7b3b3147d2bd9e33c581d2e3c14744a82dc77931bfd3ed"},"chapter":"第5章","content":"对于不熟悉模型的人，只需记住这几行代码，就可以完整地跑出这个模型。代码中并没有多少需要理解的部分或者需要预先掌握的知识，基本都是sklearn的预设格式。实际上，sklearn可以用于绝大多数传统机器学习模型，并且只需在这几行代码上稍作改动。\n\n5.7.3 Spark MLlib\n\nApache的 Spark MLlib是一个具有高度拓展性的机器学习库，在Java、Scala、Python甚至R语言中都非常有用，因为它使用Python和R中类似NumPy这样的库，能够进行高效的交互。MLlib可以很容易地插入Hadoop工作流程中。它提供了机器学习算法，如分类、回归、聚类等。这个强大的库在处理大规模的数据时，速度非常快。SparkMLlib的官网地址是 https://spark.apache.org/mllib/。\n\nSparkMLlib的优点是，对于大规模数据处理来说，非常快，可用于多种语言；缺点是，陡峭的学习曲线，仅Hadoop支持即插即用。\n\n第5章 模型\n\n163","previous_page":162,"next_page":null}