Common terminology and glossary

Could we agree on some common terminology so that we use the same variable names for the same things? Probably also a good idea to create a glossary in our wiki to keep track of them.

How do we refer to:

(the number of) different kinds of measurements (i.e. columns in the dataframe)? n_columns or n_features or n_dimensions?

I’d prefer n_columns since is the least ambiguous and intuitive given our data container, and also in line with the names of compositors like ColumnTransformer and so on.

(the number of) rows in the dataframe? n_rows, n_samples or n_instances?

I’d prefer either n_rows (same reasons as above) or n_samples (in line with sklearn).

the number of time points in series? n_obs?

[TonyBagnall]

oh and for n_ and num_, in some classes we have used both! 😃 I’ll refactor for n_instances, n_columns, series_length for now

[mloning]

Moved to glossary