Skip to main content

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.

Metadata

Release files for driverlessai 2.5.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for driverlessai 2.5.2
File Interpreter ABI Platform Actions
driverlessai-2.5.2-py3-none-any.whl Python 3 none any Details for driverlessai-2.5.2-py3-none-any.whl

Release files / driverlessai-2.5.2-py3-none-any.whl

Download URL driverlessai-2.5.2-py3-none-any.whl
Size 2.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
84d5c49b143b4ab3c6cf18320b6aad4347eea57701818ff26082de68a976cc4c
BLAKE2b-256 checksum
How to use checksums
02397d0f63996a49bc207fd281f5e50f0420589a7112da666d090fab34fb82ad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Security for driverlessai 2.5.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

2.5.2 This release

1 release file No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page