Installation¶
Stable release¶
To install TLViz, run this command in your terminal:
pip install tensorly-viz
Alternatively, to get the latest development version of TLViz, run:
pip install git+https://github.com/tensorly/viz
Interoperability with TensorLy¶
TLViz doesn’t strictly depend on TensorLy. However, we recommend installing both if you want to analyse multi-way data with tensor decomposition.
Optional dependencies¶
By default, TLViz uses SciPy to generate QQ-plots. However, the GPL lisenced Pingouin package can be used instead if you want better looking QQ-plots with confidence intervals. To install the optional (GPL lisenced) dependencies run
pip install tensorly-viz[all]
Running the examples¶
The examples depend on a variety of extra packages, such as TensorLy and PlotLy. To install these as well, run
pip install tensorly-viz[docs]
Running the test suite¶
The test suite have some extra dependencies, such as pytest and pytorch. To install these, run
pip install tensorly-viz[test]
Installing multiple extra dependencies¶
If you want to install multiple extra dependencies at once (e.g. docs
and test
), consider running
pip install tensorly-viz[docs,test]