ComfyUI Node: Rescale Float List | Akatz

Rescale Float List | Akatz:

The AK_RescaleFloatList node is designed to transform a list of floating-point numbers from their original range to a new specified range. This node is particularly useful when you need to normalize or adjust data to fit within a specific scale, which can be crucial for various applications such as data visualization, machine learning preprocessing, or any scenario where consistent data scaling is required. By automatically determining the original minimum and maximum values of the input list, the node ensures that the rescaling process is both dynamic and adaptable to different datasets. This functionality allows you to easily manipulate and standardize data, making it more manageable and comparable across different contexts.

Rescale Float List | Akatz Input Parameters:

float_list

The float_list parameter is the input list of float values that you wish to rescale. This list represents the data set that will be transformed from its original range to a new range defined by the new_min and new_max parameters. The values in this list are automatically analyzed to determine their minimum and maximum, which are then used to calculate the scaling factor. This parameter is crucial as it directly influences the rescaling process and the resulting output.

new_min

The new_min parameter specifies the minimum value of the new range to which the input list will be rescaled. It allows you to define the lower bound of the desired range, providing control over the scaling process. The default value is 0.0, with a minimum possible value of -1e10 and a maximum of 1e10. Adjusting this parameter affects the starting point of the rescaled data, which can be important for aligning data with specific requirements or constraints.

new_max

The new_max parameter defines the maximum value of the new range for the rescaled list. This parameter sets the upper bound of the desired range, complementing the new_min parameter to establish the full scale. The default value is 1.0, with a minimum possible value of -1e10 and a maximum of 1e10. By setting this parameter, you control the endpoint of the rescaled data, ensuring that it fits within the intended limits and meets the needs of your specific application.

Rescale Float List | Akatz Output Parameters:

output_list

The output_list is the resulting list of float values that have been rescaled to the new specified range. This output reflects the transformation of the original data, adjusted to fit within the bounds defined by new_min and new_max. The rescaled values maintain the relative differences of the original data but are now standardized to the new range, making them suitable for further processing or analysis. This output is essential for applications requiring normalized data, as it provides a consistent and comparable dataset.

Rescale Float List | Akatz Usage Tips:

• Ensure that the float_list contains a diverse range of values to avoid errors related to identical minimum and maximum values.
• Use the new_min and new_max parameters to align the rescaled data with the specific requirements of your application, such as normalizing data for machine learning models.

Rescale Float List | Akatz Common Errors and Solutions:

Original min and max values must be different.

• Explanation: This error occurs when all values in the float_list are identical, resulting in an undefined scaling factor.
• Solution: Ensure that the input list contains a variety of values with different minimum and maximum values to enable proper rescaling. If necessary, adjust the input data to introduce variability.