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

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-2.4.0-py3-none-any.whl (2.9 MB view details)

Uploaded Python 3

File details

Details for the file driverlessai-2.4.0-py3-none-any.whl.

File metadata

  • Download URL: driverlessai-2.4.0-py3-none-any.whl
  • Upload date:
  • Size: 2.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for driverlessai-2.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f916bd3570681593d24af3d65e4771ffd0888b31094a954c6ab04b3aa116881c
MD5 a69ed336f5c7c57d8a5334e8e2462cb2
BLAKE2b-256 9cfed2b0f04406ba4ebfae7f5c799242aa9a6de9b29f8c4522e74b0d95099e48

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