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If a Series uses the index value a for multiple data points, then s['a'] will instead return a new Series containing all matching values. [4]: 136 A DataFrame's column names are stored and implemented identically to an index. As such, a DataFrame can be thought of as having two indices: one column-based and one row-based.
Dataframe may refer to: A tabular data structure common to many data processing libraries: pandas (software) § DataFrames; The Dataframe API in Apache Spark; Data frames in the R programming language; Frame (networking)
The disadvantage of association lists is that the time to search is O(), where n is the length of the list. [3] For large lists, this may be much slower than the times that can be obtained by representing an associative array as a binary search tree or as a hash table.
An odds ratio (OR) is a statistic that quantifies the strength of the association between two events, A and B. The odds ratio is defined as the ratio of the odds of event A taking place in the presence of B, and the odds of A in the absence of B. Due to symmetry, odds ratio reciprocally calculates the ratio of the odds of B occurring in the presence of A, and the odds of B in the absence of A.
An infinite series of any rational function of can be reduced to a finite series of polygamma functions, by use of partial fraction decomposition, [8] as explained here. This fact can also be applied to finite series of rational functions, allowing the result to be computed in constant time even when the series contains a large number of terms.
For a single recurrent event process starting at =, let < < … denote the event times, where is the time of the th event. The associated counting process {(),} records the cumulative number of events generated by the process; specifically, () = = is the number of events occurring over the time interval [,].
Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. [1]
A data event is a relevant state transition defined in an event schema. [1] Typically, event schemata are described by pre- and post condition for a single or a set of data items . In contrast to ECA ( Event condition action ), which considers an event to be a signal, the data event not only refers to the change (signal), but describes specific ...