Python Module Index

s


	s
	`similarityPy`
	`similarityPy.algorithms`
	`similarityPy.algorithms.find_nearest`
	`similarityPy.algorithms.mean`
	`similarityPy.algorithms.median`
	`similarityPy.algorithms.norm`
	`similarityPy.algorithms.standart_deviation`
	`similarityPy.algorithms.sum_formula`
	`similarityPy.algorithms.variance`
	`similarityPy.data_model`
	`similarityPy.data_model.data_model`
	`similarityPy.measure`
	`similarityPy.measure.boolean_data`
	`similarityPy.measure.boolean_data.dice_dissimilarity`
	`similarityPy.measure.boolean_data.jaccard_dissimilarity`
	`similarityPy.measure.boolean_data.matching_dissimilarity`
	`similarityPy.measure.boolean_data.rogers_tanimoto_dissimilarity`
	`similarityPy.measure.boolean_data.russell_rao_dissimilarity`
	`similarityPy.measure.boolean_data.sokal_sneath_dissimilarity`
	`similarityPy.measure.boolean_data.yule_dissimilarity`
	`similarityPy.measure.numerical_data`
	`similarityPy.measure.numerical_data.bray_curtis_distance`
	`similarityPy.measure.numerical_data.canberra_distance`
	`similarityPy.measure.numerical_data.chessboard_distance`
	`similarityPy.measure.numerical_data.correlation_distance`
	`similarityPy.measure.numerical_data.cosine_distance`
	`similarityPy.measure.numerical_data.euclidean_distance`
	`similarityPy.measure.numerical_data.manhattan_distance`
	`similarityPy.measure.numerical_data.normalized_squared_euclidean_distance`
	`similarityPy.measure.numerical_data.squared_euclidean_distance`
	`similarityPy.measure.similarity_measure`
	`similarityPy.measure.similarity_measure_type`
	`similarityPy.measure.string_data`
	`similarityPy.measure.string_data.damerau_levenshtein_distance`
	`similarityPy.measure.string_data.edit_distance`
	`similarityPy.measure.string_data.hamming_distance`
	`similarityPy.measure.string_data.needleman_wunsch_similarity`
	`similarityPy.measure.string_data.smith_waterman_similarity`
	`similarityPy.utils`
	`similarityPy.utils.custom_operators`