Description

MinMaxScaler transforms a dataset of Vector rows, rescaling each feature to a specific range [min, max). (often [0, 1]). MinMaxScalerPredict will scale the dataset with model which trained from MaxAbsTrain.

Parameters

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")
dataStream = dataframeToOperator(df, schemaStr="col string, vec string",op_type="stream")
trainOp = VectorMinMaxScalerTrainBatchOp()\
           .setSelectedCol("vec")
model = trainOp.linkFrom(data) 
streamPredictOp = VectorMinMaxScalerPredictStreamOp(model)
streamPredictOp.linkFrom(dataStream).print()
StreamOperator.execute()

Result