Transformer

Transformation is a ML operation that transforms the data so that all feature data in same scale. Many normalization techniques are used for the same.

1. Square Transform

   This transforms the data into the square of the data.

   Sample Input	5	10	12
   Sample Output	25	100	144

2. Cube Transform

   This transforms the data into a cube of data.

   Sample Input	2	4	5
   Sample Output	8	64	125

3. Inverse Transform

   This transforms the data into an inverse of the data.

   Sample Input	10	20	30
   Sample Output	0.1	0.05	0.03333

4. Root Transform

   This transforms data into its square root.

   Sample Input	25	100	64
   Sample Output	5	10	8

5. Log Transform

   This transforms data into its log (data) value.

   Sample Input	10	25	30
   Sample Output	2.39789527	3.25809654	3.4339872