Quick Start

Install

Install ads using pip (shown below) or OCI Conda Packs (see Installation)

python3 -m pip install "oracle_ads[anomaly]"

Initialize

Initialize your anomaly detection job through the ads cli command:

ads operator init -t anomaly

Input Data

Within the anomaly folder created above there will be a anomaly.yaml file. This file should be updated to contain the details about your data and anomaly. Prophet’s Yosemite Temperature dataset is provided as an example below:

cd anomaly
vi anomaly.yaml

kind: operator
type: anomaly
version: v1
spec:
    datetime_column:
        name: ds
    input_data:
        url: https://raw.githubusercontent.com/facebook/prophet/main/examples/example_yosemite_temps.csv
    model: automlx
    target_column: y

There are many more options in this YAML file.

Run

Now run the anomaly detection job locally:

ads operator run -f anomaly.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.

open results/report.html