PaddleDTX 1.1.0 中文文档fileRows 是经过样本对齐后的训练集 Start(fileRows [][]string) error // Stop 关闭模型评估, 清理数据 Stop() // SaveModel 当 Learner 训练结束后, 调用该方法保存模型 // 如果成功训练出模型,触发实例化 Model, 启动预测过程 SaveModel(*pbCom.TrainTaskResult) error // 会 在服务日志中体现,后续会写入可视化模块,训练过程中实时展示模型效果。 LiveEvaluator 动态模型评估的步骤可以简述为: 1. 初始化 2. 划分数据集 3. 初始化 1 个Learner 4. 模型训练,到达暂停轮数(pause round)停止 5. 预测和验证 6. 计算评估指标 7. 重复 4 - 6 直至接收到训练任务结束的消息 8. 结束并清理资源 LiveEvaluator round),该消息触发初 始化 1 个 Learner 并启动训练 // 2 继续评估流程,该消息会触发继续训练直至到达 pause round,参数中会携带暂停 轮数(pause round) Trigger(*pb.LiveEvaluationTriggerMsg) error // Stop 关闭模型评估, 清理数据 Stop() // SaveModel 当 Learner 训练暂停后, 调用该方法保存模型0 码力 | 57 页 | 1.38 MB | 1 年前3
PaddleDTX 1.1.0 中文文档的 训 练 集 Start(fileRows [][]string) error // Stop 关 闭 模 型 评 估, 清 理 数 据 Stop() // SaveModel 当 Learner 训 练 结 束 后, 调 用 该 方 法 保 存 模 型 // 如 果 成 功 训 练 出 模 型 , 触 发 实 例 化 Model, 启 动 预 测 过 程 SaveModel(*pbCom 续会写 入可视化模块,训练过程中实时展示模型效果。 10.5.3 LiveEvaluator 动态模型评估的步骤可以简述为: 1. 初始化 2. 划分数据集 3. 初始化 1 个 Learner 4. 模型训练,到达暂停轮数(pause round)停止 5. 预测和验证 6. 计算评估指标 7. 重复 4 - 6 直至接收到训练任务结束的消息 8. 结束并清理资源 LiveEvaluator 为 两 类 : // 1 启 动 评 估 流 程 , 参 数 中 会 携 带 训 练 集 、 暂 停 轮 数 (pause round) , 该 消 息 触 发 初 始 化␣ �→1 个 Learner 并 启 动 训 练 // 2 继 续 评 估 流 程 , 该 消 息 会 触 发 继 续 训 练 直 至 到 达 pause␣ �→round, 参 数 中 会 携 带 暂 停 轮 数 (pause0 码力 | 65 页 | 687.09 KB | 1 年前3
Hyperledger Fabric 1.4.8 Documentationimplementations. The first is based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. The other is Kafka [https://kafka.apache.org/] (which uses Zookeeper [https://zookeeper patch release. Raft ordering service Introduced in v1.4.1, Raft [https://raft.github.io/raft.pdf] is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd [https://coreos.com/etcd/]. Raft follows a “leader and follower” model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be0 码力 | 699 页 | 9.02 MB | 1 年前3
Hyperledger Fabric 1.4.9 Documentationimplementations. The first is based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. The other is Kafka [https://kafka.apache.org/] (which uses Zookeeper [https://zookeeper patch release. Raft ordering service Introduced in v1.4.1, Raft [https://raft.github.io/raft.pdf] is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd [https://coreos.com/etcd/]. Raft follows a “leader and follower” model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be0 码力 | 701 页 | 9.02 MB | 1 年前3
Hyperledger Fabric 1.4 Documentationimplementations. The first is based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. The other is Kafka [https://kafka.apache.org/] (which uses Zookeeper [https://zookeeper patch release. Raft ordering service Introduced in v1.4.1, Raft [https://raft.github.io/raft.pdf] is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd [https://coreos.com/etcd/]. Raft follows a “leader and follower” model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be0 码力 | 701 页 | 9.02 MB | 1 年前3
Hyperledger Fabric 1.4.9 Documentationcurrently offers two CFT ordering service implementations. The first is based on the etcd library of the Raft protocol. The other is Kafka (which uses Zookeeper internally). For information about currently available the patch release. 2.2 Raft ordering service Introduced in v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd. Raft follows a “leader and model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be easier to set up and manage than Kafka-based ordering services, and their0 码力 | 483 页 | 7.48 MB | 1 年前3
Hyperledger Fabric 1.4 Documentationcurrently offers two CFT ordering service implementations. The first is based on the etcd library of the Raft protocol. The other is Kafka (which uses Zookeeper internally). For information about currently available the patch release. 2.2 Raft ordering service Introduced in v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd. Raft follows a “leader and model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be easier to set up and manage than Kafka-based ordering services, and their0 码力 | 483 页 | 7.48 MB | 1 年前3
Hyperledger Fabric 1.4.8 Documentationcurrently offers two CFT ordering service implementations. The first is based on the etcd library of the Raft protocol. The other is Kafka (which uses Zookeeper internally). For information about currently available the patch release. 2.2 Raft ordering service Introduced in v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol in etcd. Raft follows a “leader and model, where a leader node is elected (per channel) and its decisions are replicated to the followers. Raft ordering services should be easier to set up and manage than Kafka-based ordering services, and their0 码力 | 483 页 | 7.48 MB | 1 年前3
Hyperledger Fabric 2.1 Documentationservice implementation based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. For information about currently available ordering services, check out our currently available implementations of the ordering service, with a particular focus on the recommended Raft ordering service implementation. What is ordering? Many distributed blockchains, such as Ethereum an ordering node. Raft (recommended) New as of v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol [https://raft.github.io/raft.pdf] in etcd [https://coreos0 码力 | 904 页 | 10.95 MB | 1 年前3
Hyperledger Fabric 2.0.1 Documentationservice implementation based on the etcd library [https://coreos.com/etcd/] of the Raft protocol [https://raft.github.io/raft.pdf]. For information about currently available ordering services, check out our currently available implementations of the ordering service, with a particular focus on the recommended Raft ordering service implementation. What is ordering? Many distributed blockchains, such as Ethereum an ordering node. Raft (recommended) New as of v1.4.1, Raft is a crash fault tolerant (CFT) ordering service based on an implementation of Raft protocol [https://raft.github.io/raft.pdf] in etcd [https://coreos0 码力 | 760 页 | 10.21 MB | 1 年前3
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