mlpy.knowledgerep.cbr.features.BoolFeature¶

class mlpy.knowledgerep.cbr.features.BoolFeature(name, value, **kwargs)[source]¶

The boolean feature.

The boolean feature is represented by a scalar.

Parameters:

name : str

The name of the feature (this also serves as the features identifying key).

value : bool or string or int or float or list

The feature value.

Other Parameters:

weight : float or list[float]

The weights given to each feature value.

is_index : bool

Flag indicating whether this feature is an index.

retrieval_method : str

The similarity model used for retrieval. Refer to Feature.retrieval_method for valid methods.

retrieval_method_params : dict

Parameters relevant to the selected retrieval method.

retrieval_algorithm : str

The internal indexing structure of the training data. Refer to Feature.retrieval_method for valid algorithms.

retrieval_metric : str

The metric used to compute the distances between pairs of points. Refer to sklearn.neighbors.DistanceMetric for valid identifiers.

retrieval_metric_params : dict

Parameters relevant to the specified metric.

Raises:

ValueError :

If the feature values is not of type boolean.

Attributes

`is_index`	Flag indicating whether this feature is an index.
`name`	The name of the feature (this also serves as the features identifying key).
`retrieval_algorithm`	The internal indexing structure of the training data.
`retrieval_method`	The similarity model used during retrieval.
`retrieval_method_params`	Parameters relevant to the specified retrieval method.
`retrieval_metric`	The metric used to compute the distances between pairs of points.
`retrieval_metric_params`	Parameters relevant to the specified metric.
`value`	The feature value.
`weight`	The weights given to each feature value

Methods

compare(other) Compare this feature to another feature.