Examples

Those examples show basic usage of cardinal as well as how to craft custom query samplers and use them in advanced experiments.

Lowest confidence vs. Random sampling

Lowest confidence vs. Random sampling

Starting an Active Learning experiment

Starting an Active Learning experiment

Running and resuming an experiment

Running and resuming an experiment

Replay and experiment

Replay and experiment

Measuring hard to classify samples

Measuring hard to classify samples

Active Learning on Digit Recognition with Clustering-based Sampling

Active Learning on Digit Recognition with Clustering-based Sampling

Lowest confidence vs. KMeans sampling

Lowest confidence vs. KMeans sampling

Active Learning on Digit Recognition and Metrics

Active Learning on Digit Recognition and Metrics

Incremental KMeans

Incremental KMeans

# Properties

These examples test the behavior of samplers in peculiar synthetic settings.

Isolated cluster and bad init

Isolated cluster and bad init

Noisy boundary 2

Noisy boundary 2

Noisy boundary

Noisy boundary