功能介绍

vector归一化是对vector数据进行归一的组件, 将数据归一到min和max之间。

参数说明

脚本示例

脚本

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()

结果