9 盛泳潘 When Knowledge Graph meet PythonKnowledge Graph meet Python Yongpan Sheng 目录 CONTENTS The Pipeline of Knowledge Graph Construction by Data- driven manner Python Tools for Graph Data Management Domain-specific Knowledge Graph Construction relation, object> Mapping from natural questions to structured queries executable on knowledge graph (机器的潜台词:“我”会推理,so easy !)。 所以,通俗的来说,在AI system中:要么从原有的知识体系中直接提取信息来使用,要 么进行推理。 将知识融合在机器中,使机器能够利 BigKE将显著提升机器的认知水平。 Preliminaries 本页PPT借鉴于复旦大学肖仰华老师《大数据时代的知识工程与知识管理》 Knowledge Graph – KG引领KE复兴 Knowledge graph is a large-scale semantic network consisting of entities and concepts as well as0 码力 | 57 页 | 1.98 MB | 1 年前3
Celery v4.0.2 DocumentationAMQP, Redis Memcached, SQLAlchemy, Django ORM Apache Cassandra, Elasticsearch Serialization pickle, json, yaml, msgpack. zlib, bzip2 compression. Cryptographic message signing. Features Monitoring Scheduling additional components can be defined by the user. The worker is built up using “bootsteps” — a dependency graph enabling fine grained control of the worker’s internals. Framework Integration Celery is easy to app.conf.task_serializer = 'json' If you’re configuring many settings at once you can use update: app.conf.update( task_serializer='json', accept_content=['json'], # Ignore other content0 码力 | 1042 页 | 1.37 MB | 1 年前3
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Celery v4.1.0 Documentation• Memcached, • SQLAlchemy, Django ORM • Apache Cassandra, Elasticsearch • Serialization • pickle, json, yaml, msgpack. • zlib, bzip2 compression. • Cryptographic message signing. Features • Monitoring additional components can be defined by the user. The worker is built up using “bootsteps” — a dependency graph enabling fine grained control of the worker’s internals. Framework Integration Celery is easy to task_serializer = 'json' If you’re configuring many settings at once you can use update: app.conf.update( task_serializer='json', accept_content=['json'], # Ignore other content result_serializer='json', timezone='Europe/Oslo'0 码力 | 714 页 | 2.63 MB | 1 年前3
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Celery v4.0.1 Documentation• Memcached, • SQLAlchemy, Django ORM • Apache Cassandra, Elasticsearch • Serialization • pickle, json, yaml, msgpack. • zlib, bzip2 compression. • Cryptographic message signing. Features • Monitoring additional components can be defined by the user. The worker is built up using “bootsteps” — a dependency graph enabling fine grained control of the worker’s internals. Framework Integration Celery is easy to task_serializer = 'json' If you’re configuring many settings at once you can use update: app.conf.update( task_serializer='json', accept_content=['json'], # Ignore other content result_serializer='json', timezone='Europe/Oslo'0 码力 | 705 页 | 2.63 MB | 1 年前3
Celery 3.0 Documentation• Memcached, • SQLAlchemy, Django ORM • Apache Cassandra, Elasticsearch • Serialization • pickle, json, yaml, msgpack. • zlib, bzip2 compression. • Cryptographic message signing. Features • Monitoring additional components can be defined by the user. The worker is built up using “bootsteps” — a dependency graph enabling fine grained control of the worker’s internals. Framework Integration Celery is easy to task_serializer = 'json' If you’re configuring many settings at once you can use update: 22 Chapter 2. Contents Celery Documentation, Release 4.0.0 app.conf.update( task_serializer='json', accept_content=['json']0 码力 | 703 页 | 2.60 MB | 1 年前3
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