abacusai.forecasting_monitor_item_analysis
Classes
Forecasting Analysis Graph Data representation. |
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Forecasting Monitor Item Analysis of the latest version of the data. |
Module Contents
- class abacusai.forecasting_monitor_item_analysis.ForecastingAnalysisGraphData(client, data=None, xAxis=None, yAxis=None, dataColumns=None, chartName=None, chartTypes=None, itemStatistics={}, chartDescriptions={})
Bases:
abacusai.return_class.AbstractApiClassForecasting Analysis Graph Data representation.
- Parameters:
client (ApiClient) – An authenticated API Client instance
data (list) – List of graph data
xAxis (str) – Feature that represents the x axis
yAxis (str) – Feature that represents the y axis
dataColumns (list) – Ordered name of the column for each rowwise data
chartName (str) – Name of the chart represented by the data
chartTypes (list) – Type of charts in that can exist in the current data.
itemStatistics (ItemStatistics) – In item wise charts, gives the mean, median, count, missing_percent, p10, p90, standard_deviation, min, max
chartDescriptions (EdaChartDescription) – List of descriptions of what the chart contains
- __repr__()
Return repr(self).
- class abacusai.forecasting_monitor_item_analysis.AbstractApiClass(client, id)
- __eq__(other)
Return self==value.
- _get_attribute_as_dict(attribute)
- class abacusai.forecasting_monitor_item_analysis.ForecastingMonitorItemAnalysis(client, predictionItemAnalysis={}, trainingItemAnalysis={})
Bases:
abacusai.return_class.AbstractApiClassForecasting Monitor Item Analysis of the latest version of the data.
- Parameters:
client (ApiClient) – An authenticated API Client instance
predictionItemAnalysis (ForecastingAnalysisGraphData) – Data showing average, p10, p90, median sales across time for prediction data
trainingItemAnalysis (ForecastingAnalysisGraphData) – Data showing average, p10, p90, median sales across time for training data
- __repr__()
Return repr(self).