hellgate75/h2o repository overview

⁠H2O Machine Learning engine

Docker Image for h2o

⁠Introduction

H2O is a Machine learning engine, working as standa-alone node or on a clustered (cloud) mode.

Here some more info on H2O : http://docs.h2o.ai/h2o/latest-stable/h2o-docs/index.html⁠

⁠Goals

This doscker images has been designed to be a test, development, integration environment for H2O processes in machine learning sector. No warranties for production use.

NOTE: Will be released soon a production docker image.

⁠Docker Image features

Here some information :

Volumes : /data , /flows

Data Volume is used to store logs and archives.

Flows volumes is used to store or import flows files.

Ports: 54321, 54322, 55555

Port 54321 is default http port

Port 54322 is default rest service port

Port 55555 is ssh port

⁠Docker Environment Variable

Here h2o container environment variable :

• H2O_JVM_HEAP_SIZE : To set the total heap size for an H2O node, configure the memory allocation option -Xmx. When launching nodes, we recommend allocating a total of four times the memory of your data. (default: 4G, reccomended minimum: 1G)
• H2O_CLOUD_NAME : Assign a name to the H2O instance in the cloud (where is the name of the cloud). Nodes with the same cloud name will form an H2O cloud (also known as an H2O cluster).
• H2O_FLAT_FILE_IPS : Specify a flatfile of IP address for faster cloud formation
• H2O_REST_API_PORT : Specify a PORT used for REST API. The communication port will be the port with value +1 higher.
• H2O_MACHINE_IPspecifies IP for the machine other than the default localhost, for example: IPv4: -ip 178.16.2.223 and IPv6: -ip 2001:db8:1234:0:0:0:0:1 (Short version of IPv6 with :: is not supported.) Note: If you are selecting a link-local address fe80::/96, it is necessary to specify the zone index (e.g., %en0 for fe80::2acf:e9ff:fe15:e0f3%en0) in order to select the right interface. default(localhost)
• H2O_BASE_PORT : Specifies starting port to find a free port for REST API, the internal communication port will be port with value +1 higher.
• H2O_DISCOVERY_CID : (<ip_address/subnet_mask>) Specify an IP addresses with a subnet mask. The IP address discovery code binds to the first interface that matches one of the networks in the comma-separated list; to specify an IP address, use -network. To specify a range, use a comma to separate the IP addresses: 123.45.67.0/22,123.45.68.0/24. For example, 10.1.2.0/24 supports 256 possibilities. IPv4 and IPv6 addresses are supported.
• H2O_DEDICATED_MAX_THREADS : Specify the maximum number of threads in the low-priority batch work queue. (default: 5)
• H2O_CLIENT_MODE : Launch H2O node in client mode. This is used mostly for running Sparkling Water. (yes/no, default: no)

⁠Sample command

Here a sample command to run h2o container:

docker run -d -p 8098:54321 -p 8099:54322 -p 55555:55555 -v /path/to/store/data:/data -v /path/to/store/flows:/flows --name my-h2o hellgate75/h2o:latest

⁠Test Container

On your browser open URL: http://localhost:54321/⁠ , if you have a specific ip address for the container in an external or remote machine instance type: http://h2o_instance_ip_address:54321/

⁠License

LGPL 3⁠