Does anyone know how to access H2O Flow when using Google Colab?
My code is as follows:
!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)"))
this code shows the following output:
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/
and clicking https://0258qgrdz6tx-496ff2e9c6d22116-54321-colab.googleusercontent.com/ returns HTTP 500 error with "Not Implemented" message instead of H2O Flow (Web UI) page.
It seems that the message is returned by Persist class.
