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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
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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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