Quick Start#
Install#
Install ads using pip (shown below) or OCI Conda Packs (see Installation)
python3 -m pip install "oracle_ads[forecast]"
Initialize#
Initialize your forecast through the ads cli command:
ads operator init -t forecast --output my-forecast
Input Data#
Within the forecast
folder created above there will be a forecast.yaml
file. This file should be updated to contain the details about your data and forecast. Prophet’s Yosemite Temperature dataset is provided as an example below:
cd my-forecast
vi forecast.yaml
kind: operator
type: forecast
version: v1
spec:
datetime_column:
name: ds
historical_data:
url: https://raw.githubusercontent.com/facebook/prophet/main/examples/example_yosemite_temps.csv
horizon: 3
model: auto
target_column: y
There are many more options in this YAML file.
Run#
Now run the forecast locally:
ads operator run -f forecast.yaml
Results#
If not specified in the YAML, all results will be placed in a new folder called results
. Performance is summarized in the report.html
file, and the full forecast is available in the forecast.csv
file.
open results/report.html