Description

Imputer completes missing values in a dataSet, but only same type of columns can be selected at the same time. Imputer Train will train a model for predict. 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 input fillValue. Or it will throw “no support” exception.

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]})
data = dataframeToOperator(df, schemaStr="vec string, id bigint",op_type="batch")
vecFill = VectorImputerTrainBatchOp().setSelectedCol("vec")
model = data.link(vecFill)
VectorImputerPredictBatchOp().setOutputCol("vec1").linkFrom(model, data).collectToDataframe()

Result