Help protect the Great Barrier Reef with TensorFlow on Kaggle

Examples of usage:

# The following lines are equivalent:
'test[:33%]'))
'test', to=33, unit='%'))
'test', from_=0, to=33, unit='%'))

# The following lines are equivalent:
'test[:33%]+train[1:-1]'))

# 10-fold validation:
'mnist',
for k in range(0, 100, 10)])
'mnist',
for k in range(0, 100, 10)])

split_name (str): name of the split to read. Eg: 'train'. rounding (str): The rounding behaviour to use when percent slicing is used. Ignored when slicing with absolute indices. Possible values:

• 'closest' (default): The specified percentages are rounded to the closest value. Use this if you want specified percents to be as much exact as possible.
• 'pct1dropremainder': the specified percentages are treated as multiple of 1%. Use this option if you want consistency. Eg: len(5%) == 5 * len(1%). Using this option, one might not be able to use the full set of examples, if the number of those is not a multiple of 100. from (int): to (int): alternative way of specifying slicing boundaries. If any of {from_, to, unit} argument is used, slicing cannot be specified as string. unit (str): optional, one of: '%': to set the slicing unit as percents of the split size. 'abs': to set the slicing unit as absolute numbers.

Methods

from_spec

View source

Creates a ReadInstruction instance out of a string spec.

Args
spec (str): split(s) + optional slice(s) to read. A slice can be specified, using absolute numbers (int) or percentages (int). E.g. test: test split. test + validation: test split + validation split. test[10:]: test split, minus its first 10 records. test[:10%]: first 10% records of test split. test[:-5%]+train[40%:60%]: first 95% of test + middle 20% of train.

Returns

to_absolute

View source

Translate instruction into a list of absolute instructions.

Those absolute instructions are then to be added together.

Args
name2len dict associating split names to number of examples.

Returns
list of _AbsoluteInstruction instances (corresponds to the + in spec).