Metrics averaging before inserting to model.

[pavolloffay]

Exponential smoothing models for metrics which are collected with high frequency (e.g. heap used metric) tend to work better for buckets. Therefore it is better to average N values and then use it as input to the model. Another solution could be use simple moving average to and use it as input for double exponential smoothing.