iDQ API

We separate data discovery (idq.io), feature extraction (idq.features), and classification (idq.classifiers) into separate modules for clarity. Our object-oriented architecture means that the idq.classifiers.SupervisedClassifier object has responsibility for quite a few tasks, including

• evaluation of ranks or generation of timeseries,

• supervised calibration of ranks or rank timeseries, and

• supervised training.

We also include a few other modules that contain helper functions (idq.utils), naming convetions (idq.names), and common code for measuring histograms and estimating probability density functions (idq.calibration).

• idq.batch
• idq.calibration
• idq.classifiers
• idq.condor
• idq.configparser
• idq.factories
• idq.features
• idq.io
• idq.logs
• idq.names
• idq.plots
• idq.stream
• idq.utils