Description
The transformer normalizes the value of the vector to [-1,1] using the following formula:
x_scaled = x / abs(X_max)
Parameters
Name | Description | Type | Required? | Default Value |
---|---|---|---|---|
selectedCol | Name of the selected column used for processing | String | ✓ | |
outputCol | Name of the output column | String | null |
Script Example
Script
data = np.array([["a", "10.0, 100"],\
["b", "-2.5, 9"],\
["c", "100.2, 1"],\
["d", "-99.9, 100"],\
["a", "1.4, 1"],\
["b", "-2.2, 9"],\
["c", "100.9, 1"]])
df = pd.DataFrame({"col" : data[:,0], "vec" : data[:,1]})
data = dataframeToOperator(df, schemaStr="col string, vec string",op_type="batch")
res = VectorMaxAbsScaler()\
.setSelectedCol("vec")
res.fit(data).transform(data).collectToDataframe()
Result
col1 | vec |
---|---|
c | 1.0,0.01 |
b | -0.024777006937561942,0.09 |
d | -0.9900891972249752,1.0 |
a | 0.09910802775024777,1.0 |
b | -0.02180376610505451,0.09 |
c | 0.9930624380574826,0.01 |
a | 0.013875123885034686,0.01 |