Required Improvement

Glossary

It is at basic doc level.

We call value the data itself. // Or each ROW

For each feature a name and a description must be clearly defined.

  • Id is the identifier of the data.
  • value is the entry point for computation.
  • R symbolizes any type associated to the value, such as NumericalVector, BinaryVector.

Other improvements

In following documentation the type symbol which represent value

Recheck THIS

List of viz for every regular outputs.

Including following types :

  • $R^n$
    • 2/3D : Scatter Plot
    • Radar Plot
  • ${0, 1}$
  • Categorical
  • Monovariate Time Series
  • Multivariate Time Seris

Is it necessary to unify Clusters and HardClustering concepts in userdoc only, not on lib doc.

Jupyter notebook are convenient for practical code sample but is not enough for a more immersive searching experience due to (from the few i know about ipynb) :

  • lack of references between notebook/concepts. If we suppose a webpage per notebook it is feasible but can be complicated to maintain.
  • UE is not sexy enough for most documentation.

Questions

Do we merge Recommended association and Practical strategies sections ? They seems similar to me now…