ARNNResult._summary_table#

ARNNResult._summary_table()[source]#

Structured summary rendered by every display path.

The coefficient table is empty by design; SummaryTable omits the block entirely when there are no rows, so the summary reads as header plus diagnostics rather than as a table with a hole in it.

Return type:

SummaryTable

Returns:

The SummaryTable.

Example

>>> import numpy as np
>>> rng = np.random.default_rng(0)
>>> table = ARNN(rng.standard_normal(200), order=1).fit()._summary_table()
>>> table.title, len(table.rows), len(table.notes), table.metadata[2]
('AR-NN(1) Results', 0, 4, ('Engine', 'NumpyMLPEngine'))