Name	Name	Last commit message	Last commit date
parent directory ..
classification	classification
context_learner	context_learner
experiments	experiments
pooling	pooling
sequence_learner	sequence_learner
transformers	transformers
README.md	README.md

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Basic Usage

Transformers
- Basic examples of encoding data to binary patterns
- ScalarTransformer, DiscreteTransformer, PersistenceTransformer, HypergridTransformer
PatternClassifier
- Basic setup, template setup, sklearn-style wrapper
PatternPooler
- Basic setup
ContextLearner
- Basic setup
SequenceLearner
- Batch learning anomaly detection
- Online learning anomaly detection
- Save and load trained model
- Template
- Next-step prediction
- Multivariate
  - Concatenation of encodings
  - Vector encoding with HGT
  - Hierarchy of SequenceLearners
Experiments
- Classifier comparison with sklearn
- Dataset generation
- Sequence event classification
- Hypergrid transform visuals
- Image classification
- Scalability tests
- Anomaly detection tests

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