Zingg
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Welcome to Zingg
Step-By-Step Guide
Installation
Hardware Sizing
Zingg Runtime Properties
Zingg Command Line
Configuration
Working With Training Data
Finding Records For Training Set Creation
Labeling Records
Find And Label
Using pre-existing training data
Updating Labeled Pairs
Exporting Labeled Data
Building and saving the model
Finding the matches
Linking across datasets
Data Sources and Sinks
Working With Python
Running Zingg on Cloud
Zingg Models
Improving Accuracy
Documenting The Model
Interpreting Output Scores
Reporting bugs and contributing
Community
Frequently Asked Questions
Reading Material
Security And Privacy
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Working With Training Data
Zingg builds models to predict similarity. Training data is needed to build these models. The next sections describe how you can use the Zingg Interactive Labeler to create the training data.
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Telemetry
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Finding Records For Training Set Creation
Last modified
1yr ago
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