TIM Anomaly Detection Build model tool
TIM Anomaly Detection - Build model tool is an implementation of the TIM Anomaly Detection model building process for Alteryx platform. Follow this manual to download it and install in the Alteryx Designer platform.
After installation, the tool is available in the Predictive category of the tool palette. You can drag & drop the tool into your workspace. The image below shows appearance of the tool icon in a workspace. It has one input and six outputs. By clicking on it, a configuration pane appears. We take a closer look on it in subsections below.
D - Dataset¶
Input dataset used for the forecasting task. Follow this link to learn more about expected dataset structure. One additional requirement is that the timestamp has to be in the first column of the dataset.
By clicking on the tool a configuration pane appears. First you have to authenticate in order to be able to use the tool.
Then you can proceed to data configuration part of the pane, see image on the left below.
The available configuration is:
- Explanatory variables - which columns to use as a context for detecting anomalies.
- KPI - column where TIM seeks anomalies.
There is also option to configure advanced settings:
Normal Behavior Learner settings:
Anomalous Behavior Learner settings:
S - Status of the anomaly detection task¶
Status of the anomaly detection model building request sent to TIM API.
A - Anomaly indicator¶
Timestamps with corresponding anomaly indicator values, anomaly flags and normal behavior values.
M - Model info¶
String with encrypted model, target name and offsets required for model calibration.
I - Importances¶
Percentual importance of explanatory variables in the Normal Behavior Learner.
E - Extended importances¶
Percentual importance of Normal Behavior Learner features.
G - Graph path¶
Path for treemap rendering.