PyPGX

Parallel Graph AnalytiX 21.4 for CPU on Python 3.8 (version 2.0)

A description of the Parallel Graph AnalytiX 21.4 for CPU on Python 3.8 (version 2.0) conda environment.

Released

March 29, 2022

Description

Python Parallel Graph AnalytiX (PyPGX) is a graph toolkit that provides a graph query language, optimized analytic algorithms, and graph machine learning. You can use it to extract hidden insights in datasets at scale and with high performance. Graph analysis is a data analysis methodology in which the dataset is represented as a graph. The graph vertices correspond to the data entities and edges to the relationships between them. Analyzing these graphs takes into account the fine-grained, arbitrary relationships that naturally occur in many datasets. This also enables the discovery of valuable insights about the data.

To get started with this conda environment, review the getting-started.ipynb notebook example, Using the Notebook Explorer to access Notebook Examples.

Python Version

3.8

Slug pypgx214_p38_cpu_v2
Object Storage Path
oci://service-conda-packs@id19sfcrra6z/service_pack/cpu/Parallel Graph AnalytiX 21.4 for CPU on Python 3.8/2.0/pypgx214_p38_cpu_v2

Top Libraries

  • oracle-ads (v2.5.8)

  • pypgx (v21.4.4)

  • python-igraph (v0.9.9)

  • category_encoders (v2.3.0)

For a complete list of preinstalled Python libraries, see pypgx214_p38_cpu_v2.

Example Notebooks

  • getting-started.ipynb

  • ads_feature_type.ipynb

  • ads_feature_type_custom.ipynb

  • ads_feature_type_EDA.ipynb

  • ads_feature_type_manager.ipynb

  • ads_feature_type_validator.ipynb

  • ads_feature_type_warnings.ipynb

  • api_keys.ipynb

  • caltech.ipynb

  • model_catalog.ipynb

  • model_deployment.ipynb

  • model_deployment_using_jobs.ipynb

  • project.ipynb

  • pypgx_algorithms.ipynb

  • pypgx_graph_ml.ipynb

  • pypgx_pgql.ipynb

  • vault.ipynb

  • visual_genome.ipynb

Using the Notebook Explorer to access Notebook Examples describes how to locate and access the included interactive example notebooks, and what each of them can be used for.

Parallel Graph AnalytiX 21.4 for CPU on Python 3.8 (version 1.0) [Removed]
Parallel Graph AnalytiX 21.3 for CPU on Python 3.8 (version 1.0) [Removed]