abacusai.eda_forecasting_analysis
Module Contents
Classes
Eda Forecasting Analysis of the latest version of the data. |
- class abacusai.eda_forecasting_analysis.EdaForecastingAnalysis(client, primaryKeys=None, forecastingTargetFeature=None, timestampFeature=None, forecastFrequency=None, salesAcrossTime={}, cummulativeContribution={}, missingValueDistribution={}, historyLength={}, numRowsHistogram={}, productMaturity={})
Bases:
abacusai.return_class.AbstractApiClass
Eda Forecasting Analysis of the latest version of the data.
- Parameters:
client (ApiClient) – An authenticated API Client instance
primaryKeys (list) – Name of the primary keys in the data
forecastingTargetFeature (str) – Feature in the data that represents the target.
timestampFeature (str) – Feature in the data that represents the timestamp column.
forecastFrequency (str) – Frequency of data, could be hourly, daily, weekly, monthly, quarterly or yearly.
salesAcrossTime (ForecastingAnalysisGraphData) – Data showing average, p10, p90, median sales across time
cummulativeContribution (ForecastingAnalysisGraphData) – Data showing what percent of items contribute to what amount of sales.
missingValueDistribution (ForecastingAnalysisGraphData) – Data showing missing or null value distribution
historyLength (ForecastingAnalysisGraphData) – Data showing length of history distribution
numRowsHistogram (ForecastingAnalysisGraphData) – Data showing number of rows for an item distribution
productMaturity (ForecastingAnalysisGraphData) – Data showing length of how long a product has been alive with average, p10, p90 and median
- __repr__()
Return repr(self).