Abstract
TSML (Time Series Machine Learning)
Highlights
TSML[5] is a Julia[1] package for time series data processing, classification, and prediction
The TSML package assumes a two-column input for any time series data composed of dates and values
The first part of the workflow aggregates values based on the specified date/time interval which minimizes occurrence of missing values and noise
Summary
TSML[5] is a Julia[1] package for time series data processing, classification, and prediction. Remaining missing values are replaced by the median/mean or user-defined aggregation function of the k-nearest neighbors (k-NN) where k is the symmetric distance from the location of missing value. This approach can be called several times until there are no more missing values
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