Table of Contents
- Title and Copyright Information
- Preface
- 1 What's New
- 2 Get Started
- 3 Project and Workspaces
-
4
OML Notebooks
- 4.1 About Oracle Machine Learning Notebooks
- 4.2 Access your Oracle Machine Learning Notebooks Page
- 4.3 Edit your Oracle Machine Learning Notebook
- 4.4 Enable GPU Compute Capabilities in a Notebook through the Python Interpreter
-
4.5
Visualize your Data in Oracle
Machine Learning Notebooks
- 4.5.1 Visualize Data in a Table
- 4.5.2 Visualize Data in a Bar Chart
- 4.5.3 Visualize Data in a Funnel Chart
- 4.5.4 Visualize Data in a Pyramid Chart
- 4.5.5 Visualize Data in a Scatter Plot
- 4.5.6 Visualize Data in a Line Chart
- 4.5.7 Visualize Data in an Area Chart
- 4.5.8 Visualize Data in a Pie Chart
- 4.5.9 Visualize Data in a Box Plot
- 4.6 Export a Notebook
- 4.7 Import a Notebook
- 4.8 Use the SQL Interpreter in a Notebook Paragraph
- 4.9 Use the Python Interpreter in a Notebook Paragraph
- 4.10 Use the R Interpreter in a Notebook Paragraph
-
4.11
Use the Conda Interpreter in a Notebook Paragraph
- 4.11.1 About the Conda Environment and Conda Interpreter
- 4.11.2 Conda Interpreter Commands
- 4.11.3 Create a Conda Environment for Python and Install Python Packages
- 4.11.4 Create a Conda Environment for R and Install R Packages
- 4.11.5 Upload the Conda environments to an Object Storage bucket associated with the Autonomous Database
- 4.12 Use the Markdown Interpreter and Generate Static html from Markdown Plain Text
- 4.13 About Interpreters and Notebook Service Levels
- 4.14 Use the Scratchpad
- 5 AutoML UI
- 6 Data Monitoring
- 7 Model Monitoring
- 8 Models
- 9 Templates
- 10 Jobs
- 11 Admin