Description

Imputer completes missing values in a dataset, but only same type of columns can be selected at the same time. Imputer Predict completes missing values in a dataset with model which trained from Inputer train. Strategy support min, max, mean or value. If min, will replace missing value with min of the column. If max, will replace missing value with max of the column. If mean, will replace missing value with mean of the column. If value, will replace missing value with the value.

Parameters

Script Example

Script

data = np.array([["1:3,2:4,4:7", 1],\
    ["1:3,2:NaN", 3],\
    ["2:4,4:5", 4]])
df = pd.DataFrame({"vec" : data[:,0], "id" : data[:,1]})
dataStream = dataframeToOperator(df, schemaStr="vec string, id bigint",op_type="stream")
data = dataframeToOperator(df, schemaStr="vec string, id bigint",op_type="batch")
vecFill = VectorImputerTrainBatchOp().setSelectedCol("vec")
model = data.link(vecFill)
VectorImputerPredictStreamOp(model).setOutputCol("vec1").linkFrom(dataStream).print()
StreamOperator.execute()

Result