Automatic Machine Learning for the Enterprise.
Driverless AI automates feature engineering, model building, visualization and interpretability.
Licensing
- Driverless AI is a commercially licensed product, and requires a license key. Request a free trial license key here.
Download
Linux (x86)
Windows
Mac
IBM Power
Python client
| Package Type |
OS |
GPU |
CPU |
|
| RPM |
RHEL 7/RHEL 8/CentOS 7/SLES 12 |
CUDA 10.0 and above/CPU only |
x86_64 |
Download |
| DEB |
Ubuntu 16.04/Ubuntu 18.04 |
CUDA 10.0 and above/CPU only |
x86_64 |
Download |
| TAR SH |
Most Linux |
CUDA 10.0 and above/CPU only |
x86_64 |
Download |
| Docker |
Docker CE |
CUDA 10.0 and above/CPU only |
x86_64 |
Download |
| Package Type |
OS |
GPU |
CPU |
|
| Docker |
Windows 10 Pro |
CPU only |
x86_64 |
Download |
| Caution: |
Windows computers (laptops in particular) should only be used with small datasets for the purpose of exploring the software. For serious use, server hardware is required. Consider spinning up a more powerful instance in the cloud instead of using a laptop. Avoid laptops with less than 16 GB of RAM. GPUs are not supported on Windows. |
|
| Package Type |
OS |
GPU |
CPU |
|
| Docker |
MacOS X |
CPU only |
x86_64 |
Download |
| Caution: |
MacOS computers (laptops in particular) should only be used with small datasets for the purpose of exploring the software. For serious use, server hardware is required. Consider spinning up a more powerful instance in the cloud instead of using a laptop. Avoid laptops with less than 16 GB of RAM. GPUs are not supported on MacOS. |
|
| Package Type |
OS |
GPU |
CPU |
|
| RPM |
RHEL 7/RHEL 8 |
CUDA 10.0 and above/CPU only |
ppc64le |
Download |
| DEB |
Ubuntu 16.04 |
CUDA 10.0 and above/CPU only |
ppc64le |
Download |
| TAR SH |
RHEL 7/RHEL 8/Ubuntu 16.04 |
CUDA 10.0 and above/CPU only |
ppc64le |
Download |
| Docker |
Docker CE |
CUDA 10.0 and above/CPU only |
ppc64le |
Download |
Python client for H2O.ai Driverless AI
Start using Driverless AI Python API
1. Install the driverlessai package using Pip
pip install driverlessai
3. Start Python session and connect to a running Driverless AI instance
import driverlessai
client = driverlessai.Client(address='http://localhost:12345', username="user", password="pw")
User Documentation
Booklets
