使用 Google Colab 时如何访问 H2O Flow

如何解决使用 Google Colab 时如何访问 H2O Flow

有谁知道在使用 Google Colab 时如何访问 H2O Flow？

我的代码如下：

!pip install H2O

import h2o
h2o.init(bind_to_localhost=False,log_dir="./")
from google.colab.output import eval_js
print(eval_js("google.colab.kernel.proxyPort(54321)"))

此代码显示以下输出：

Checking whether there is an H2O instance running at http://localhost:54321 ..... not found.
Attempting to start a local H2O server...
  Java Version: openjdk version "11.0.10" 2021-01-19; OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.18.04); OpenJDK 64-Bit Server VM (build 11.0.10+9-Ubuntu-0ubuntu1.18.04,mixed mode,sharing)
  Starting server from /usr/local/lib/python3.7/dist-packages/h2o/backend/bin/h2o.jar
  Ice root: /tmp/tmp5mullu7m
  JVM stdout: /tmp/tmp5mullu7m/h2o_unkNownUser_started_from_python.out
  JVM stderr: /tmp/tmp5mullu7m/h2o_unkNownUser_started_from_python.err
  Server is running at http://127.0.0.1:54321
Connecting to H2O server at http://127.0.0.1:54321 ... successful.

H2O_cluster_uptime:     02 secs
H2O_cluster_timezone:   Etc/UTC
H2O_data_parsing_timezone:  UTC
H2O_cluster_version:    3.32.1.1
H2O_cluster_version_age:    3 days
H2O_cluster_name:   H2O_from_python_unkNownUser_0ttq4b
H2O_cluster_total_nodes:    1
H2O_cluster_free_memory:    3.180 Gb
H2O_cluster_total_cores:    2
H2O_cluster_allowed_cores:  2
H2O_cluster_status:     accepting new members,healthy
H2O_connection_url:     http://127.0.0.1:54321
H2O_connection_proxy:   {"http": null,"https": null}
H2O_internal_security:  False
H2O_API_Extensions:     Amazon S3,XGBoost,Algos,AutoML,Core V3,TargetEncoder,Core V4
Python_version:     3.7.10 final

https://0258qGrdz6tx-496ff2e9c6d22116-54321-colab.googleusercontent.com/

并点击 https://0258qgrdz6tx-496ff2e9c6d22116-54321-colab.googleusercontent.com/ 会返回 HTTP 500 错误并显示“未实现”消息，而不是 H2O Flow（Web UI）页面。

看来消息是由 Persist 类返回的。