Scalers

We offer a catalogue of well-known scalers for use across algorithms.

The catalogue of scalers

We have these scalers available (all case-insensitive):

Scaler Identifier

Center

Center

Log scaler

Log

Max scaler

Max

Mean scaler

Mean

Min-max scaler

MinMax

Standard score

StdScore

Details

The scalers are well understood, and are documented below.

Center

Transforms all properties by subtracting the mean.

p minus average value of p

The average value is reported as a statistic when this scaler is used.

Log scaler

Transforms all property values using the natural logarithm. C denotes a configurable constant offset, which can be used to avoid negative values or zeros in the value space, as their logarithms are not finite values.

scaled p equals natural logarithm of p

Max scaler

Scales all property values into the range [-1, 1] where the maximum absolute value(s) get the scaled value 1, according to this formula:

scaled p equals p divided by the maximum of absolute p

The maximum absolute value is reported as a statistic when this scaler is used.

Mean scaler

Scales all property values into the range [-1, 1] where the average value(s) get the scaled value 0.

scaled p equals p minus average of p divided by maximum of p minus minimum of p

The minimum, maximum and average values are reported as statistics when this scaler is used.

Min-max scaler

Scales all property values into the range [0, 1] where the minimum value(s) get the scaled value 0 and the maximum value(s) get the scaled value 1, according to this formula:

scaled p equals p minus minimum of p divided by maximum of p minus minimum of p

The minimum and maximum values are reported as statistics when this scaler is used.

Standard Score

Scales all property values using the Standard Score (Wikipedia).

scaled p equals p minus average of p divided by standard deviation of p

The average value and standard deviation are reported as statistics when this scaler is used.