quantization_bit:是否量化,取值为4或者8 model_name_or_path: LLM模型的路径 dataset: 取值为训练数据集的配置名字,对应在dbgpt_hub/data/dataset_info.json 中外层key值,如example_text2sql。 max_source_length: 输入模型的文本长度,如果计算资源支持,可以尽能设大,如1024或者2048。 max_target_length: 输出...
EXECUTEsp_execute_external_script @language= N'R', @script = N' OutputDataSet <- InputDataSet', @input_data_1 = N'SELECT 1 AS hello'WITHRESULTSETS( ([hello]INTNOTNULL) ); GO 请执行以下 SQL 命令以测试 SQL Server 中的 Python 执行。
packagecom.javaedge.bigdata.cp04importorg.apache.spark.sql.{DataFrame,Dataset,SparkSession}objectDatasetApp{defmain(args:Array[String]):Unit= {valprojectRootPath ="/Users/javaedge/Downloads/soft/sparksql-train"valspark =SparkSession.builder() .master("local").appName("DatasetApp") .getOrCreate...
If you have a private dataset that you do not want to make publicly available but would still like to repurpose the code here for evaluations, you can do so by following the steps below. Begin by creating a separate git repository for your private data, that has asetup.pyfile, similar ...
下载地址:https://www.microsoft.com/zh-CN/download/details.aspx?id=42299 默认实例安装 选择混合模式进行身份验证,输入密码1QAZ2wsx 其他都默认下一步,直到安装成功 打开SQL Server 配置管理器,启用tcp/ip,重启 sql server 服务,这样可以用一些工具远程连接,SqlServer服务使用两个端口:TCP-1433、UDP-1434。
Python 複製 from sklearn import datasets import pandas as pd # SkLearn has the Iris sample dataset built in to the package iris = datasets.load_iris() df = pd.DataFrame(iris.data, columns=iris.feature_names) 5-3 - 使用 Revoscalepy API 來建立資料表並載入 Iris 資料Python 複製 ...
Download the Spider dataset from the Spider dataset link. By default, after downloading and extracting the data, place it in the dbgpt_hub_sql/data directory, i.e., the path should bedbgpt_hub_sql/data/spider. For the data preprocessing part, simplyrun the following script: ...
DataSet是强类型的。比如可以有DataSet[Car],DataSet[Person]。 三者区别: 单纯的RDD只有KV这样的数据没有结构,给RDD的数据增加若干结构形成了DataFrame,而为了访问方便不再像SQL那样获取第几个数据,而是像读取对象那种形成了DataSet。 第二章 SparkSQL编程
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Client applications that use Multidimensional Expressions (MDX) to query model/dataset data such as Microsoft Excel will see improved query performance. Common MDX query patterns now require fewer SE queries where previously numerous SE queries were necessary to support different granularity. Fewer SE ...