mlbend-split

Releases (2)

• 0.1.1.0 indexed
• 0.1.0.0 unindexed

Definitions (27)

main.bend

• type Split
• law split_coversLAW (split_covers): every row of the dataset is placed in a fold — the fold list holds one entry per row, so the folds are a partition of the rows: the test rows of a fold and its training rows are disjoint, and together they hold every row.
• def rows_of_classThe rows of one class, with their indices.
• def shuffled_listThe list of a pair: the list, and the generator that comes after it.
• def shuffled_classThe rows of one class, shuffled by the generator.
• def class_orders_goThe shuffled rows of every class, one class after the other.
• def class_ordersThe shuffled rows of every class, one class after the other.
• def largest_ofThe largest label of the labels.
• def classes_ofThe number of classes of the labels: one more than the largest label.
• def count_rowsThe number of rows a list of folds holds.
• def position_goThe place of a row among the shuffled rows of its class.
• def position_ofThe place of a row among the shuffled rows of its class.
• def fold_in_ofThe fold of a row, given the shuffled rows of its class.
• def order_headThe first of the shuffled rows of every class.
• def order_tailThe orders of every class but the first.
• def order_atThe shuffled rows of the class of a label: the n-th of the orders.
• def fold_inThe fold of a row: its place among the shuffled rows of its class, dealt out over the folds in turn.
• def folds_fromThe fold of every row from the row i on, given the shuffled rows of every class.
• def foldsThe fold of every row of the dataset, in the order of the rows.
• def test_rowThe row, in the fold.
• def train_rowThe row, out of the fold.
• def split_ofThe rows of one fold: the ones that test and the ones that train.
• def splitThe rows of one fold: the ones that test and the ones that train.
• def test_of_goThe rows of the fold f: the ones that test.
• def test_ofThe rows of the fold f: the ones that test.
• def train_of_goThe rows of the fold f: the ones that train.
• def train_ofThe rows of the fold f: the ones that train.