abacusai.forecasting_analysis_graph_data

Classes

EdaChartDescription

Eda Chart Description.

ItemStatistics

ItemStatistics representation.

AbstractApiClass

ForecastingAnalysisGraphData

Forecasting Analysis Graph Data representation.

Module Contents

class abacusai.forecasting_analysis_graph_data.EdaChartDescription(client, chartType=None, description=None)

Bases: abacusai.return_class.AbstractApiClass

Eda Chart Description.

Parameters:

  • client (ApiClient) – An authenticated API Client instance

  • chartType (str) – Name of chart.

  • description (str) – Description of the eda chart.

__repr__()

Return repr(self).

to_dict()

Get a dict representation of the parameters in this class

Returns:

The dict value representation of the class parameters

Return type:

dict

class abacusai.forecasting_analysis_graph_data.ItemStatistics(client, missingPercent=None, count=None, median=None, mean=None, p10=None, p90=None, stddev=None, min=None, max=None, lowerBound=None, upperBound=None)

Bases: abacusai.return_class.AbstractApiClass

ItemStatistics representation.

Parameters:

  • client (ApiClient) – An authenticated API Client instance

  • missingPercent (float) – percentage of missing values in data

  • count (int) – count of data

  • median (float) – median of the data

  • mean (float) – mean value of the data

  • p10 (float) – 10th percentile of the data

  • p90 (float) – 90th_percentile of the data

  • stddev (float) – standard deviation of the data

  • min (int) – min value in the data

  • max (int) – max value in the data

  • lowerBound (float) – lower bound threshold of the data

  • upperBound (float) – upper bound threshold of the data

__repr__()

Return repr(self).

to_dict()

Get a dict representation of the parameters in this class

Returns:

The dict value representation of the class parameters

Return type:

dict

class abacusai.forecasting_analysis_graph_data.AbstractApiClass(client, id)
__eq__(other)

Return self==value.

_get_attribute_as_dict(attribute)
class abacusai.forecasting_analysis_graph_data.ForecastingAnalysisGraphData(client, data=None, xAxis=None, yAxis=None, dataColumns=None, chartName=None, chartTypes=None, itemStatistics={}, chartDescriptions={})

Bases: abacusai.return_class.AbstractApiClass

Forecasting 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).

to_dict()

Get a dict representation of the parameters in this class

Returns:

The dict value representation of the class parameters

Return type:

dict