matchzoo.tasks¶
Package Contents¶
Classes¶
Classification task. |
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Ranking Task. |
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class
matchzoo.tasks.Classification(num_classes: int = 2, **kwargs)¶ Bases:
matchzoo.engine.base_task.BaseTaskClassification 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
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TYPE= classification¶
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property
num_classes(self) → int¶ - Returns
number of classes to classify.
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classmethod
list_available_losses(cls) → list¶ - Returns
a list of available losses.
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classmethod
list_available_metrics(cls) → list¶ - Returns
a list of available metrics.
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property
output_shape(self) → tuple¶ - Returns
output shape of a single sample of the task.
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property
output_dtype(self)¶ - Returns
target data type, expect int as output.
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__str__(self)¶ - Returns
Task name as string.
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class
matchzoo.tasks.Ranking(losses=None, metrics=None)¶ Bases:
matchzoo.engine.base_task.BaseTaskRanking 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
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TYPE= ranking¶
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classmethod
list_available_losses(cls) → list¶ - Returns
a list of available losses.
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classmethod
list_available_metrics(cls) → list¶ - Returns
a list of available metrics.
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property
output_shape(self) → tuple¶ - Returns
output shape of a single sample of the task.
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property
output_dtype(self)¶ - Returns
target data type, expect float as output.
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__str__(self)¶ - Returns
Task name as string.
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