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阿里云为你提供基础软件、企业软件网站建设、代维&服务、云安全、数据及API、解决方案等相关的各类软件和服务,软件市场首选阿里云!

区块链服务 BaaS

阿里云区块链服务(Blockchain as a Service,简称BaaS)是一种基于主流区块链技术的企业级PaaS(Platform as a Service)平台服务,帮助您快速构建更稳定、安全的生产级区块链环境,减少在区块链部署、运维、管理、应用开发等方面的挑战,...

软件著作权登记

阿里云为计算机软件开发企业或申请人提供计算机软件著作权登记申请的服务

弹性加速计算实例EAIS

Instances)是一款阿里云提供的性能卓越、成本优化、弹性扩展的IaaS(Infrastructure as a Service)级别弹性计算服务。EAIS可以将CPU资源与GPU资源成功解耦,帮助您将GPU资源附加到ECS实例上,构建成您希望得到的GPU实例规格,用于推理...

3D全景网站

3D全景网站通过三维视觉算法及空间计算能力等AI技术建立虚拟空间,为客户提供真3D的动态场景。企业无需安装任何软件就可拥有自己的展厅链接,并在网站,社交网络,新媒体等渠道分享发布,让自己的客户在近乎真实的VR空间中进行体验。

云原生应用交付平台ADP

云原生应用交付平台ADP(Application Delivery Platform)是一个“软件产品...它借助容器等云原生技术带来的标准化交付和IaaS解耦能力,一式的帮助软件厂商解决在本地化环境进行交付时的异构环境适配、部署复杂、云服务依赖和持续运维问题。

优化求解器

优化求解器产品是求解优化问题的专业设计软件,技术来自达摩院决策智能实验室的MindOpt Solver。可广泛应用于云计算、电力能源、工业制造、交通物流、零售、金融等领域,能帮助做设计或生产方案优化、资源合理分配、辅助决策等,是深埋于...

机器人流程自动化RPA

阿里云RPA产品是一款新型工作流程自动化办公机器人软件,通过模拟人工操作进行自动流程执行处理。它可以将办公人员从每日的重复工作中解放出来,提高生产效率

Grafana托管服务

阿里云Grafana托管服务可以帮助您在高效分析与查看指标、日志和跟踪的同时,无需关注服务器配置、软件更新等繁杂工作,有效降低运维复杂性与工作量,并借助阿里云强大的云原生能力,全面提升Grafana的安全性与可用性。

设备接入Link SDK

Link SDK(原名为Link Kit SDK)是阿里云物联网平台提供的设备端软件开发工具包,可简化开发过程,实现设备快速接入阿里云物联网平台。设备厂商获取SDK后,根据需要选择相应功能进行移植,即可快速集成Link SDK,实现设备的接入。

Linkedmall

LinkedMall企业商城是将阿里巴巴集团生态内的商品(实物、虚拟)以软件服务的形式输出。LinkedMall企业商城通过打通企业的会员/员工体系,针对企业各种业务形态,如:积分商城、员工福利等提供成熟的解决方案。客户覆盖银行、航空、酒店、...

视频直播解决方案之视频核心指标监控

平台运营还应该及时跟踪和了解网站整体的客户运营情况,以及视频爆款等情况。下面我们以某个视频直播平台方为例,讲解如何使用实时计算监控系统稳定性和平台运营情况。业务详情 为了最大程度活跃用户社群,覆盖更多场景直播频道,最终...

特征编码

53 as age,1 as campaign,999 as pdays,0 as previous,-0.1 as emp_var_rate,93.2 as cons_price_idx,-42.0 as cons_conf_idx,4.021 as euribor3m,5195.8 as nr_employed,0 as y from dual union all select 28 as age,3 as campaign,6 as ...

标签传播聚类

as node,0.7 as node_weight from dual union all select '6' as node,0.5 as node_weight from dual union all select '7' as node,0.7 as node_weight from dual union all select '8' as node,0.7 as node_weight from dual)tmp;对应的...

PS逻辑回归二分类

1.19 as f0,-1.18 as f1,-1.1 as f2,2.26 as f3,1.22 as f4,0.92 as f5,0 as label from dual union all select-2.78 as f0,2.33 as f1,1.18 as f2,-4.5 as f3,-1.31 as f4,-1.8 as f5,1 as label from dual)tmp;生成的训练数据如下。构建...

逻辑回归二分类

double)as f0,cast(0 as double)as f1,cast(0 as double)as f2,cast(0 as double)as f3,cast(0 as bigint)as label from dual union all select cast(0 as double)as f0,cast(1 as double)as f1,cast(0 as double)as f2,cast(0 as double)...

性能测试指南

本文介绍如何导入ClickHouse开源网站上的测试数据集,并完成性能测试。云数据库ClickHouse是一款极致性能的列式存储分析型数据库,在数据聚合分析、宽表分析的场景下有出色的性能表现。ClickHouse开源网站上列举了一系列的开源测试数据集,...

GBDT回归

double)as f1,cast(1 as double)as f2,cast(0 as double)as f3,cast(1 as bigint)as label from dual union all select cast(0 as double)as f0,cast(0 as double)as f1,cast(0 as double)as f2,cast(1 as double)as f3,cast(1 as bigint)...

GBDT二分类

(select cast(1 as double)as f0,cast(0 as double)as f1,cast(0 as double)as f2,cast(0 as double)as f3,cast(0 as bigint)as label from dual union all select cast(0 as double)as f0,cast(1 as double)as f1,cast(0 as double)as f2,...

类型转换

as f0,3.0 as f1,1 as f2 from dual union all select false as f0,3.0 as f1,1 as f2 from dual union all select false as f0,4.0 as f1,1 as f2 from dual union all select true as f0,3.0 as f1,1 as f2 from dual union all select ...

TPC-DS测试集

AS thu_sales1,fri_sales AS fri_sales1,sat_sales AS sat_sales1&FROM wswscs, date_dim&WHERE date_dim.d_week_seq=wswscs.d_week_seq&AND d_year=2001 y,(&SELECT wswscs.d_week_seq AS d_week_seq2,sun_sales AS sun_sales2, mon_sales...

Quick BI使用Maxcompute数据源创建sql数据集时报错

ALL_T_1_.`business_order_number` AS T_A13_5_,ALL_T_1_.`expense` AS T_AF1_6_, ALL_T_1_.`product_name` AS T_A25_7_,ALL_T_1_.`k3_shop_name` AS T_A4D_8_, ALL_T_1_.`remark` AS T_A99_9_,ALL_T_1_.`merchant_order_number` AS T_A6D_...

分析Nginx访问日志

本文介绍分析网站访问情况、诊断及调优网站和重要场景告警的分析案例。前提条件 已采集Nginx访问日志,详情请参见Nginx模式。在日志采集配置向导中,已根据日志字段自动生成索引,如果您要修改索引,详情请参见开启并配置索引。背景信息 ...

逻辑回归多分类

as double)as f1,cast(0 as double)as f2,cast(0 as double)as f3,cast(0 as bigint)as label from dual union all select cast(0 as double)as f0,cast(1 as double)as f1,cast(0 as double)as f2,cast(0 as double)as f3,cast(0 as ...

边聚类系数

select '1' as flow_out_id,'7' as flow_in_id from dual union all select '2' as flow_out_id,'5' as flow_in_id from dual union all select '2' as flow_out_id,'4' as flow_in_id from dual union all select '2' as flow_out_id,'3' ...

分析网站日志

日志服务提供多样化的日志采集方式及一式分析功能,您可通过查询+SQL92语法对日志进行实时分析,并以图表形式直观展示分析结果。日志服务还支持通过自带的仪表盘、DataV、Grafana、Tableua(通过JDBC链接)、Quick BI等可视化方式创建...

PS-SMART二分类

as f0,-1.39 as f1,0.05 as f2,2.18 as f3,-0.02 as f4,1.71 as f5,0 as label from dual union all select-0.48 as f0,0.79 as f1,2.52 as f2,-1.19 as f3, 0.9 as f4,-1.04 as f5,1 as label from dual union all select 1.02 as f0,-0....

开源地理空间UDF

CREATE FUNCTION ST_Aggr_Union AS 'com.esri.hadoop.hive.ST_Aggr_Union' USING 'spatial-sdk-hive.jar,esri-geometry-api.jar';CREATE FUNCTION ST_Area AS 'com.esri.hadoop.hive.ST_Area' USING 'spatial-sdk-hive.jar,esri-geometry...

通过AS_SupT工具收集天基控制台中大量产品集群未达终...

概述 本文主要介绍如何通过AS_SupT工具收集天基控制台中大量产品集群未达终态的信息。详细信息 通过AS_SupT工具可以收集异常的服务角色和告警信息,帮助快速定位产品集群未达终态的问题根源,提高工作效率及缩短故障时间。具体的使用方法...

计数三角形

select '1' as flow_out_id,'3' as flow_in_id from dual union all select '1' as flow_out_id,'4' as flow_in_id from dual union all select '1' as flow_out_id,'5' as flow_in_id from dual union all select '1' as flow_out_id,'6' ...

树深度

as select*from(select '0' as flow_out_id,'1' as flow_in_id from dual union all select '0' as flow_out_id,'2' as flow_in_id from dual union all select '1' as flow_out_id,'3' as flow_in_id from dual union all select '1' as ...

归一化

'01' as col_string,10 as col_bigint,10.1 as col_double,True as col_boolean, cast('2016-07-01 10:00:00' as datetime)as col_datetime from dual union all select cast(null as string)as col_string,11 as col_bigint,10.2 as col_...

标准化

as datetime)as col_datetime from dual union all select cast(null as string)as col_string,11 as col_bigint,10.2 as col_double,False as col_boolean, cast('2016-07-02 10:00:00' as datetime)as col_datetime from dual union all ...

快速拉起X2I召回服务

'10002' AS item_id,1.07 AS score UNION SELECT 'B' AS trigger_id,'10001' AS item_id,0.98 AS score UNION SELECT 'C' AS trigger_id,'10003' AS item_id,0.87 AS score;写入标识分区 INSERT OVERWRITE TABLE aime_example_x2i ...

点聚类系数

select '1' as flow_out_id,'6' as flow_in_id from dual union all select '2' as flow_out_id,'3' as flow_in_id from dual union all select '3' as flow_out_id, '4' as flow_in_id from dual union all select '4' as flow_out_id,'5'...

同比和环比函数

SELECT diff[1]AS today,diff[2]AS yesterday,diff[3]AS ratio FROM SELECT compare(PV,86400)AS diff FROM(SELECT count(*)AS PV FROM log)) 查询和分析结果 3337.0表示当前1小时(例如2020-12-25 14:00:00~2020-12-25 15:00:00)的网站...

单源最短路径

select"b"as flow_out_id,"c"as flow_in_id,2.0 as edge_weight from dual union all select"c"as flow_out_id,"d"as flow_in_id,1.0 as edge_weight from dual union all select"b"as flow_out_id,"e"as flow_in_id,2.0 as edge_weight ...

CTE

WITH子句同样适用于多子查询:WITH t1 AS(SELECT a,MAX(b)AS b FROM x GROUP BY a),t2 AS (SELECT a,AVG(d)AS d FROM y GROUP BY a)SELECT t1.*,t2.*FROM t1 JOIN t2 ON t1.a=t2.a;WITH子句中定义的关系可以互相连接:WITH x AS(SELECT a ...

分析Apache日志

日志服务支持通过数据接入向导一式采集Apache日志,并为Apache日志创建索引和仪表盘。apache_Apache访问日志仪表盘包括来源IP分布、请求状态占比、请求方法占比、访问PV/UV统计、流入流出流量统计、请求UA占比、前十访问来源、访问前十...

PyODPS的聚合操作

import agg import numpy as np import pandas as pd iris= DataFrame(o.get_table('pyodps_iris')) describe函数,查看DataFrame里数字列的数量、最大值、最小值、平均值以及标准差。print iris.describe().execute()#单列聚合操作。print...
< 1 2 3 4 ... 126 >
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