tfds.transform.apply_filter
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Filters examples for whom fn
returns true on input_feature
.
tfds.transform.apply_filter(
fn: Callable[[Any], bool], input_feature: Optional[str] = None
) -> ExampleTransformFn
Arguments |
fn
|
the function that returns whether the input feature of an example should
be filtered.
|
input_feature
|
the input feature to apply fn to. If this is the empty
string, then fn will receive the entire example.
|
Returns |
function that can be applied to filter examples.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]