Get: Feature Importance

Analyzes time-series data to detect trends, seasonality, anomalies, autocorrelation, and stationarity.

Endpoint:

/eda/timeseries_analysis

Input Parameters:

• usecaseVersion (integer, default: 1)
• date_col (string, required)
• feature_col (string, required)
• stationarity (string, required: False, True)
• seasonality (string, required: False, True)

• usecaseId (string, required)

  Output:

  Line plots, ACF/PACF, trend decomposition, stationarity/seasonality tests, and anomaly detection visuals.