omega-ml
1.0
Quick start
DataOps & MLOps for humans
Examples
Use Cases
User Guide
Getting started
Storing and retrieving data
Filtering Data
Aggregation Framework
Working with Machine Learning Models
Lambda Modules
REST API
Implementing a Custom Backend
Runtime Clusters
Multiple environments
Mini-Batch Streaming
Administration
Development Guide
Reference
Tutorial Notebooks
Screenshots
omega-ml
You're reading the documentation for a development version. For the latest released version, please have a look at
release/0.16.3
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User Guide
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User Guide
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Getting started
Getting User Credentials
Loading omega|ml
Loading omega|ml from python
Storing and retrieving data
Native Python objects
Pandas DataFrames, Series
Filtering Data
Query filtering
Large, Out of Core-sized DataFrames
Aggregation Framework
Standard Groupby aggregation
Motivating example
Math operations
Datetime Operators
String Operators
Cached operations
Complex operations
Working with Machine Learning Models
Storing models
Using models to predict
Using the compute cluster
Specific frameworks
Tensorflow
Lambda Modules
Writing a Lambda Module
Deploying a module
Executing a module
REST API
API Reference
API Semantics
Setting up authorization
Working with data
Working with models
Working with jobs
Implementing a Custom Backend
Runtime Clusters
Celery Runtime (default)
Dask runtime (optional)
Multiple environments
Working with Contexts
Working with Buckets
Promoting objects between contexts and environments
Mini-Batch Streaming
Other Versions
v: 0.13.4
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
0.4
0.5
0.9
stable
Branches
master