omega-ml
1.1
  • Introduction
  • User Guide
    • Getting started
    • Working with datasets
      • Storing and retrieving data
      • Filtering Data
      • Large, Out of Core-sized DataFrames
        • Working with MDataFrame
        • MDataFrame Operations
        • Aggregation Framework
        • Debugging
    • Working with models
    • Working with notebooks
    • Deploying models and pipelines
    • Command-line interface
    • Advanced features
    • Integration
  • Administration
  • Development Guide
  • Reference
  • Tutorial Notebooks
  • Screenshots
  • More information
omega-ml
You're reading an old version of this documentation. If you want up-to-date information, please have a look at release/0.16.3.
  • User Guide
  • Working with datasets
  • Large, Out of Core-sized DataFrames
  • View page source

Large, Out of Core-sized DataFrames¶

  • 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
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