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time_series_anomaly_detection

Name: time_series_anomaly_detection
Author: benchflow-ai

by benchflow-ai890173GitHub

Detect anomalies in time series data using Prophet Framework (Meta), which frames the seasonality, trend holiday effect and other needed regressors into its model, to identify unusual surges or slumps in trends. This is a general methodology analyst can use for understanding what changes of their tracking metrics are manifesting anomalies pattern.

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SKILL.md

Time Series Anomaly Detection Framework

API

from anomaly_detection import TimeSeriesAnomalyDetector

Source: https://github.com/benchflow-ai/SkillsBench#tasks_no_script_no_ref-trend-anomaly-causal-inference-environment-skills-time_series_anomaly_detection

Content curated from original sources, copyright belongs to authors

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