README.md
Overview
This algorithm uses a pre-trained model in R to predict 30 year fixed loan rates for jumbo mortgages and creates an R plot showing past and predicted values that's written to Algorithm Data /tmp
Data Resource:
Zillow data used for training ARIMA model.
Usage
Code: shows how to create a temp file in R algorithm, create the plot and upload it to data collections via the data api.
Input
h = Number of periods for forecasting
level = Confidence level for prediction intervals.
Output
lower, mean, upper: bounds for values of Jumbo mortgage rates.
Examples
Input: {"h":20, "level": 99.5}
Output: { "lower": [ 3.80975744108778, 3.6133705067042,... ], "mean": [ 4.16576965410636, 4.23989014470578,.. ], "upper": [ 4.52178186712495, 4.86640978270737,... ] }
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