Playing with Eigen's unsupported tensors via Tensor Toolbox
- I guess this is a port from rust to C++
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Integrate pybind bindings
Add pybind and figure out how the existing pieces interface to pybind for easier comparison across implementations.
Create CP ALS Proof of concept
I think to give some scope to the initial exploration trying to implement the minimum features to run ALS seems reasonable.
Starting with dense tensor implementation then moving to necessary ktensor pieces:
- Dense Tensor Methods
- ndims
- norm
- shape slice
- mttkrp (partial implementation that only takes in factors, but not full ktensor)
- innerprod
- KTensor Methods
- ndims
- ncomponents
- factor_matrices
- from_factor_matrices
- subsref
- from_data
- norm
- fixsigns
- isequal
- normalize
- arrange (permutation only support)
- full (as an alternative to the more complicated innerprod)
- shape
- CP ALS
- Baseline logic
- Logging details
- Builder pattern for arguments
- Match pyttb testing scope
Finish getting the machinery setup
- Add automated build and test
- Add ctest discovery to run catch2 tests
- Add more details to getting running on README
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