Python 在Pycharm IDE中的h2o.init上初始化并立即关闭h2o会话
我已经在Pycharm IDE中安装了官方的h2o包,如下图所示。安装后,当我使用h2o.init()初始化h2o时,h2o会话立即开始并关闭。请说明为什么它会立即关闭Python 在Pycharm IDE中的h2o.init上初始化并立即关闭h2o会话,python,pycharm,h2o,h2o4gpu,Python,Pycharm,H2o,H2o4gpu,我已经在Pycharm IDE中安装了官方的h2o包,如下图所示。安装后,当我使用h2o.init()初始化h2o时,h2o会话立即开始并关闭。请说明为什么它会立即关闭 您似乎正在使用PyCharm运行代码。如果您喜欢交互式会话,我建议您使用“Python控制台”来输入命令。这将保持会话打开,以便您可以从浏览器访问流GUI,同时保持将Python数据帧注入java服务器的能力 顺便说一句,我发现使用Flow导入csv文件很困难,但是可以使用Python数据帧将数据毫无错误地导入到流程中 imp
您似乎正在使用PyCharm运行代码。如果您喜欢交互式会话,我建议您使用“Python控制台”来输入命令。这将保持会话打开,以便您可以从浏览器访问流GUI,同时保持将Python数据帧注入java服务器的能力 顺便说一句,我发现使用Flow导入csv文件很困难,但是可以使用Python数据帧将数据毫无错误地导入到流程中
import h2o
h2o.init(ip="localhost", port=54323)
:\Users\sarvendra.singh\PycharmProjects\H2o\venv\Scripts\python.exe C:/Users/sarvendra.singh/PycharmProjects/H2o/main.py
Checking whether there is an H2O instance running at http://localhost:54323 ..... not found.
Attempting to start a local H2O server...
; Java HotSpot(TM) 64-Bit Server VM (build 25.271-b09, mixed mode)
Starting server from C:\Users\sarvendra.singh\PycharmProjects\H2o\venv\lib\site-packages\h2o\backend\bin\h2o.jar
Ice root: c:\users\sarven~1.sin\appdata\local\temp\tmpmhrvqf
JVM stdout: c:\users\sarven~1.sin\appdata\local\temp\tmpmhrvqf\h2o_sarvendra_singh_started_from_python.out
JVM stderr: c:\users\sarven~1.sin\appdata\local\temp\tmpmhrvqf\h2o_sarvendra_singh_started_from_python.err
Server is running at http://127.0.0.1:54323
Connecting to H2O server at http://127.0.0.1:54323 ... successful.
Warning: Your H2O cluster version is too old (8 months and 19 days)! Please download and install the latest version from http://h2o.ai/download/
-------------------------- ---------------------------------------------------------
H2O_cluster_uptime: 03 secs
H2O_cluster_timezone: Asia/Kolkata
H2O_data_parsing_timezone: UTC
H2O_cluster_version: 3.30.0.1
H2O_cluster_version_age: 8 months and 19 days !!!
H2O_cluster_name: H2O_from_python_sarvendra_singh_y4j13p
H2O_cluster_total_nodes: 1
H2O_cluster_free_memory: 3.535 Gb
H2O_cluster_total_cores: 4
H2O_cluster_allowed_cores: 4
H2O_cluster_status: accepting new members, healthy
H2O_connection_url: http://127.0.0.1:54323
H2O_connection_proxy: {"http": null, "https": null}
H2O_internal_security: False
H2O_API_Extensions: Amazon S3, Algos, AutoML, Core V3, TargetEncoder, Core V4
Python_version: 2.7.18 final
-------------------------- ---------------------------------------------------------
Closing connection _sid_973f at exit
H2O session _sid_973f closed.
Process finished with exit code 0