Description
MaxAbsScaler transforms a dataSet of Vector rows, rescaling each feature to range [-1, 1] by dividing through the maximum absolute value in each feature. MaxAbsScalerTrain will train a model.
Parameters
Name |
Description |
Type |
Required? |
Default Value |
selectedCol |
Name of the selected column used for processing |
String |
✓ |
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")
trainOp = VectorMaxAbsScalerTrainBatchOp()\
.setSelectedCol("vec")
model = trainOp.linkFrom(data)
batchPredictOp = VectorMaxAbsScalerPredictBatchOp()
batchPredictOp.linkFrom(model, 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 |