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Normalize Data
Normalizes the values of a column in a data set.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Data | Data | The data set to change. | Generic |
| Columns | Columns | The names of the columns in the data set to normalize. | Text |
| Fix Zero | Fix Zero | Whether to map zero to zero, preserving sparsity. When fixZero is false, the normalized interval is [0,1] and the distribution of the normalized values depends on the normalization mode. When fixZero is set to true, the normalized interval is [−1,1] with the distribution of the normalized values depending on the normalization mode, but the behavior is different. With this method, the distribution depends on how far away the number is from 0, resulting in the number with the largest distance being mapped to 1 if its a positive number or -1 if its a negative number.The distance from 0 will affect the distribution with a majority of numbers that are closer together normalizing towards 0. | Boolean |
| Normalization Mode | Mode | Normalization Mode: \n (0) Min Max - rescale the input by the difference between the minimum and maximum values in the data.\n (1) Mean Variance - subtract the mean (of the data) and divide by the variance (of the data)\n (2) Log Mean Variance - normalize based on the logarithm of the data\n (3) Normalize Binning - assign the input value to a bin index and divide by the number of bins to produce a float value between 0 and 1. The bin boundaries are calculated to evenly distribute the data across bins. | Any |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Data | Data | The modified data set. | Generic |
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