AutoMLx

Learn about AutoMX conda environments.

A description of the Oracle AutoML and Model Explanation for Python 3.8 (version 5.0) conda environment.


Released	September 12, 2023
Description	Oracle Labs brings their AutoML and Model Explanation packages together in the new AutoMLX library. For more details, and a technical overview, see Oracle AutoML: A Fast and Predictive AutoML Pipeline. To get started with this conda environment, review the Getting Started notebook, using the Launcher.
Python Version	3.8
Object Storage Path	`oci://service-conda-packs@id19sfcrra6z/service_pack/cpu/Oracle_AutoML_and_Model_Explanation_for_Python_3.8/5.0/automlx_p38_cpu_v5`
Slug	`automlx_p38_cpu_v5`
Top Libraries	Oracle-ads (v2.8.9) Oracle AutoMLX (v23.2.2) scikit-learn (v1.1.1) For a complete list of preinstalled Python libraries, see automlx_p38_cpu_v5.txt.

A description of the Oracle AutoML and Model Explanation for Python 3.8 (version 1.0) conda environment.


Released	December 1, 2023
Description	Oracle Labs brings their AutoML and Model Explanation packages together in the new automlx library. To get started with the Oracle AutoML environment, review the notebook example, getting-started.ipynb, from the Notebook Examples launcher button. For more details, and technical overview, see Oracle AutoML: A Fast and Predictive AutoML Pipeline.
Python Version	3.8
Object Storage Path	`oci://service-conda-packs@id19sfcrra6z/service_pack/cpu/Oracle_AutoMLx_v23.4_for_CPU_on_Python_3.8/1.0/automlx234_p38_cpu_x86_64_v1`
Slug	`automlx234_p38_cpu_x86_64_v1`
Top Libraries	Oracle-ads (v2.9.0) Oracle AutoMLX (v23.4.1) scikit-learn (v1.1.1) For a complete list of preinstalled Python libraries, see automlx234_p38_cpu_x86_64_v1.txt.

A description of the Oracle AutoML and Model Explanation for Python 3.10 (version 1.0) conda environment.


Released	December 1, 2023
Description	Oracle Labs brings their AutoML and Model Explanation packages together in the new automlx library. To get started with the Oracle AutoML environment, review the notebook example, getting-started.ipynb, from the Notebook Examples launcher button. For more details, and technical overview, see Oracle AutoML: A Fast and Predictive AutoML Pipeline.
Python Version	3.10
Object Storage Path	`oci://service-conda-packs@id19sfcrra6z/service_pack/cpu/Oracle_AutoMLx_v23.4_for_CPU_on_Python_3.10/1.0/automlx234_p310_cpu_x86_64_v1`
Slug	`automlx234_p310_cpu_x86_64_v1`
Top Libraries	Oracle-ads (v2.9.0) Oracle AutoMLX (v23.4.1) scikit-learn (v1.1.1) For a complete list of preinstalled Python libraries, see automlx234_p310_cpu_x86_64_v1.txt.

A description of the Oracle AutoML and Model Explanation for Python 3.8 (version 1.0) conda environment.


Released	June 3, 2024
Description	Oracle Labs brings their AutoML and Model Explanation packages together in the new automlx library. To get started with the Oracle AutoML environment, review the notebook example, getting-started.ipynb, from the Notebook Examples launcher button. For more details, and technical overview, see Oracle AutoML: A Fast and Predictive AutoML Pipeline.
Python Version	3.8
Object Storage Path	`oci://service-conda-packs@id19sfcrra6z/service_pack/cpu/Oracle_AutoMLx_v24.2_for_CPU_on_Python_3.8/1.0/automlx242_p38_cpu_x86_64_v1`
Slug	`automlx242_p38_cpu_x86_64_v1`
Top Libraries	Oracle-ads (v2.11.9) Oracle AutoMLX (v24.2.0) scikit-learn (v1.2.2) For a complete list of preinstalled Python libraries, see automlx242_p38_cpu_x86_64_v1.txt.

A description of the Oracle AutoML and Model Explanation for Python 3.8 (version 1.0) conda environment.


Released	June 3, 2024
Description	Oracle Labs brings their AutoML and Model Explanation packages together in the new automlx library. To get started with the Oracle AutoML environment, review the notebook example, getting-started.ipynb, from the Notebook Examples launcher button. For more details, and technical overview, see Oracle AutoML: A Fast and Predictive AutoML Pipeline.
Python Version	3.8
Object Storage Path	`oci://service-conda-packs@id19sfcrra6z/service_pack/gpu/Oracle_AutoMLx_v24.2_for_GPU_on_Python_3.8/1.0/automlx242_p38_gpu_x86_64_v1`
Slug	`automlx242_p38_gpu_x86_64_v1`
Top Libraries	Oracle-ads (v2.11.9) Oracle AutoMLX (v24.2.0) scikit-learn (v1.2.2) cuda-toolkit (v11.8.0) pytorch (v2.0.1) For a complete list of preinstalled Python libraries, see automlx242_p38_gpu_x86_64_v1.txt.