trait Imputation extends AnyRef

The Imputation trait specifies an imputation operation to be defined by the objects implementing it, i.e., Interpolate - Uses Linear Interpolation technique to impute the missing value ImputeMean - Estimates the mean of the vector filtered from missing values ImputeNormal - Estimates the mean and variance of the vector filtered from missing values ImputeMovingAverage - Imputes the missing value in the vector by taking historical Moving Average of last 'n' seasonal values.

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ImputeMean, ImputeMovingAverage, ImputeNormal, Interpolate
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  1. abstract def impute(c: Vec, args: Int*): Any

    Impute a value for a missing value in column/vector 'c'

    Impute a value for a missing value in column/vector 'c'

    c

    the column/vector with missing values

    args

    an optional paramter which takes variable no. of numeric values, args(0) - index at which missing value needs to be imputed args(1) - distance around index to consider when imputing from subset of values args(2) - season 'period' to consider for taking historical average

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