Welcome to the etable wiki!

• Install: use standard go installation techniques -- nothing special here. See also emergent Install page.
• dataproc -- see this example for sample code based on pandas tutorial
• Views -- GUI views of etable data structures (Tensors, Tables, SimMat matricies)
• Tensor -- Special things for tensors, including reshaping, sub-spaces.
• Table -- a etable.Table is essentially just a slice of etensor.Tensor columns, where the rows are the outer-most dimension of the Tensor (i.e., the first dimension for RowMajor).
  • Table IO -- Some special header formatting allows CSV, TSV files to fully capture table structure.
  • Table Cell Access -- Convenient methods that access table cells
  • Table Index Views -- Powerful ways of viewing table through an extra set of indexes -- makes sorting, filtering etc very fast.
  • Sort -- how to sort a table
  • Filter -- how to filter a table
  • Splits -- how to split a table into multiple subsets -- a "pivot table" -- key function for advanced analysis
  • Agg -- how to aggregate over table splits
• SimMat -- similarity / distance matrix computation
  • Metric -- similarity / distance metrics
• PCA -- principal components analysis and covariance matrix functions
• Clust -- standard agglomerative hierarchical clustering and plotting
• Norm -- computing "norms" of vectors (L1 or Abs, L2 or Euclidean) and normalizing, thresholding, etc

• Design -- notes on overall implementation design.