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Installing tensorly
User guide
1. Quick-Start
2. TensorLy’s backend system
3. Tensor basics
4. Tensor decomposition
5. Tensor regression
6. Sparse Backend
7. Usage
8. Example
API reference
Gallery of examples
Development guide
Notebooks
About us
User guide
1. Quick-Start
1.1. Tensor operations
1.2. Tensor algebra
1.3. Tensor decomposition
1.4. Tensor regressions
1.5. Metrics
1.6. Sampling random tensors
2. TensorLy’s backend system
2.1. Backend?
2.2. Why backends?
2.3. How do I change the backend?
2.4. Context of a tensor
2.5. Basic functions
3. Tensor basics
3.1. Creating a tensor
3.2. Unfolding
3.3. Folding
3.4. References
4. Tensor decomposition
4.1. CP form of a tensor
4.1.1. CANDECOMP-PARAFAC decomposition
4.2. Tucker form of a tensor
4.2.1. Tucker decomposition
4.3. Matrix-Product-State / Tensor-Train Decomposition
4.3.1. Implementations
4.4. References
5. Tensor regression
5.1. Setting
5.2. References
6. Sparse Backend
6.1. Why a separate sparse backend?
6.2. Algorithms
7. Usage
7.1. Missing Values
8. Example
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