omega-ml
Introduction
User Guide
Getting started
Generative AI
Classic ML
Tutorial for classic ML
Loading datasets for training
Training models
Evaluating models
Deploying models
Adding business logic to models
Serving models for real-time predictions
Tracking and monitoring models
Working with models
Working with datasets
Storing and retrieving data
Filtering Data
Large, Out of Core-sized DataFrames
Task Automation
Deployment and Operations
Command-line interface
Advanced features
Deploying omega-ml
Extending omega-ml
Reference
Support
Changes
omega-ml
User Guide
Classic ML
Tutorial for classic ML
Working with datasets
Large, Out of Core-sized DataFrames
View page source
Large, Out of Core-sized DataFrames
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Working with MDataFrame
What is MDataFrame?
Concepts
Storing data as an MDataFrame
Getting an MDataFrame
Executing a query
Persisting the result of a query
Slicing
Filtering
Aggregation and transformation
In-database transformations
Parallel transformations
Customized chunking
Lazy evaluation
What won’t work
MDataFrame Operations
Selection
Filtering data
Ordering operations
Aggregation
Aggregation Framework
Standard Groupby aggregation
Motivating example
Math operations
Datetime Operators
String Operators
Cached operations
Complex operations
Debugging
Understanding the actual MongoDB query
Explaining the access path
Other Versions
v: stable
Tags
0.11.3
0.11.4
0.12.0
0.13.0
0.13.2
0.13.4
0.13.5
0.13.6
0.13.7
0.14.0
0.15.1
0.15.2
latest
0.15.3
0.15.5
0.16.0
0.16.1
0.16.2
0.16.3
0.16.4
0.17.0
0.4
0.5
0.9
stable
Branches
master