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Perform various unary operations on input values for data manipulation and analysis, including absolute value, mean, median, mode, magnitude, normalization, maximum, and minimum.
The Unary Operation node is designed to perform a variety of unary operations on input values, making it a versatile tool for data manipulation and analysis. This node can handle operations such as calculating the absolute value, mean, median, mode, magnitude, normalization, maximum, and minimum of the input values. By applying these operations, you can transform and analyze your data in meaningful ways, whether you are working with single values or lists of numbers. The node simplifies complex mathematical operations, allowing you to focus on the creative aspects of your AI art projects.
This parameter accepts the input values on which the unary operation will be performed. It can handle a full range of data types, including single numbers and lists of numbers. The default value is None
, meaning that you need to provide the input values for the node to function. The input values significantly impact the node's execution and results, as they are the data being transformed by the selected unary operation.
This parameter specifies the unary operation to be performed on the input values. It offers a variety of options, including ABS
, MEAN
, MEDIAN
, MODE
, MAGNITUDE
, NORMALIZE
, MAXIMUM
, MINIMUM
, and many more. The default value is ABS
, which calculates the absolute value of the input. The choice of operation determines how the input values will be transformed, making this parameter crucial for achieving the desired outcome.
This output parameter returns the result of the unary operation performed on the input values. The output can be a single number or a list of numbers, depending on the input and the selected operation. The result provides valuable insights and transformations of your data, which can be used in further processing or directly in your AI art projects.
FUNC
parameter to NORMALIZE
. This can be particularly useful for standardizing data before further processing.MEAN
or MEDIAN
functions to get a central tendency measure of your input values, which can help in understanding the overall distribution of your data.IN_A
parameter are not valid or are in an incorrect format.FUNC
parameter is not recognized or supported by the node.FUNC
parameter is one of the supported operations listed in the documentation. Use the correct operation name.RECIPROCAL
or LOG
when the input value is zero.Β© Copyright 2024 RunComfy. All Rights Reserved.