Skip to main content

Python client for H2O Driverless AI.

Project description

H2O Driverless AI Python Client

An intuitive Python client for H2O Driverless AI.

Getting Started

Installation

pip install driverlessai
conda install -c h2oai driverlessai

Usage

Connecting to H2O Driverless AI

import driverlessai

client = driverlessai.Client(address="http://localhost:12345", username="py", password="py")

Create a dataset

dataset = client.datasets.create(
    data="s3://h2o-public-test-data/smalldata/iris/iris.csv", 
    data_source="s3", 
    name="iris.csv",
)

Create an experiment

experiment = client.experiments.preview(
    train_dataset=dataset,
    target_column="C5",
    task="classification",
    name="iris-experiment",
)

For more information, see the Driverless AI Python Client documentation.

Supported Driverless AI Servers

The client version number indicates the most recent Driverless AI server supported by that specific client version. However, all client versions are backwards compatible with Driverless AI servers down to version 1.10.0.

Support

For additional support, please contact our support team.

Project details


Release history Release notifications | RSS feed

This version

2.0.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

driverlessai-2.0.0-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file driverlessai-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: driverlessai-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.16

File hashes

Hashes for driverlessai-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d28bf1e9878e816f3a155d8687261fd78aae6db98e99c838b9cb04d2c612c01e
MD5 e769472b058cd8e10d58bf7140754324
BLAKE2b-256 0c7aa4069d94a84d3bf46f54e3cde6a228db24ef09be5ee9f160097ff00cb55b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page