matchzoo.tasks

Package Contents

class matchzoo.tasks.Classification(num_classes:int=2, **kwargs)

Bases: matchzoo.engine.base_task.BaseTask

Classification task.

Examples

>>> classification_task = Classification(num_classes=2)
>>> classification_task.metrics = ['acc']
>>> classification_task.num_classes
2
>>> classification_task.output_shape
(2,)
>>> classification_task.output_dtype
<class 'int'>
>>> print(classification_task)
Classification Task with 2 classes
TYPE = classification
num_classes

number of classes to classify.

Type:return
output_shape

output shape of a single sample of the task.

Type:return
output_dtype

target data type, expect int as output.

Type:return
classmethod list_available_losses(cls)
Returns:a list of available losses.
classmethod list_available_metrics(cls)
Returns:a list of available metrics.
__str__(self)
Returns:Task name as string.
class matchzoo.tasks.Ranking

Bases: matchzoo.engine.base_task.BaseTask

Ranking Task.

Examples

>>> ranking_task = Ranking()
>>> ranking_task.metrics = ['map', 'ndcg']
>>> ranking_task.output_shape
(1,)
>>> ranking_task.output_dtype
<class 'float'>
>>> print(ranking_task)
Ranking Task
TYPE = ranking
output_shape

output shape of a single sample of the task.

Type:return
output_dtype

target data type, expect float as output.

Type:return
classmethod list_available_losses(cls)
Returns:a list of available losses.
classmethod list_available_metrics(cls)
Returns:a list of available metrics.
__str__(self)
Returns:Task name as string.