relevanceai.operations.cluster.constants#

Module Contents#

relevanceai.operations.cluster.constants.dict#
relevanceai.operations.cluster.constants.DIM_REDUCTION#
relevanceai.operations.cluster.constants.DIM_REDUCTION_DEFAULT_ARGS :Dict[Any, Any]#
relevanceai.operations.cluster.constants.GROUPBY_MAPPING#
relevanceai.operations.cluster.constants.CLUSTER#
relevanceai.operations.cluster.constants.CLUSTER_DEFAULT_ARGS :Dict[str, Dict[str, Any]]#
relevanceai.operations.cluster.constants.NEAREST_NEIGHBOURS#
relevanceai.operations.cluster.constants.CENTROID_DISTANCES#
relevanceai.operations.cluster.constants.SILHOUETTE_INFO = Multiline-String#
Show Value
1Good clusters have clusters which are highly seperated and elements within which are highly cohesive. <br/>
2<b>Silohuette Score</b> is a metric from <b>-1 to 1</b> that calculates the average cohesion and seperation of each element, with <b>1</b> being clustered perfectly, <b>0</b> being indifferent and <b>-1</b> being clustered the wrong way
relevanceai.operations.cluster.constants.RAND_INFO = Multiline-String#
Show Value
1Good clusters have elements, which, when paired, belong to the same cluster label and same ground truth label. <br/>
2<b>Rand Index</b> is a metric from <b>0 to 1</b> that represents the percentage of element pairs that have a matching cluster and ground truth labels with <b>1</b> matching perfect and <b>0</b> matching randomly. <br/> <i>Note: This measure is adjusted for randomness so does not equal the exact numerical percentage.</i>
relevanceai.operations.cluster.constants.HOMOGENEITY_INFO = Multiline-String#
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1Good clusters only have elements from the same ground truth within the same cluster<br/>
2<b>Homogeneity</b> is a metric from <b>0 to 1</b> that represents whether clusters contain only elements in the same ground truth with <b>1</b> being perfect and <b>0</b> being absolutely incorrect.
relevanceai.operations.cluster.constants.COMPLETENESS_INFO = Multiline-String#
Show Value
1Good clusters have all elements from the same ground truth within the same cluster <br/>
2<b>Completeness</b> is a metric from <b>0 to 1</b> that represents whether clusters contain all elements in the same ground truth with <b>1</b> being perfect and <b>0</b> being absolutely incorrect.
relevanceai.operations.cluster.constants.METRIC_DESCRIPTION#