Output Table Schema
Column | Data Type | Description | ||||||
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cause | VARCHAR | Input attribute (column) being evaluated as potential causal variable. | ||||||
effect | VARCHAR | Input attribute (column) being evaluated as potential effect variable. | ||||||
library_size | INTEGER | Size of library evaluated. | ||||||
correlation | DOUBLE PRECISION | For numerical cause variables: correlation between values predicted by effect attribute and true value of cause attribute. For categorical cause variables: NULL |
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jaccard_index | DOUBLE PRECISION | For categorical cause variables: Jaccard similarity index between values predicted by effect attribute and true value of cause attribute. For numerical cause variables: NULL |
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lower_bound | DOUBLE PRECISION | Lower bound of 95% confidence interval of prediction contained in correlation or jaccard_index column (whichever is not NULL). | ||||||
upper_bound | DOUBLE PRECISION | Upper bound of the 95% confidence interval of prediction contained in correlation or jaccard_index column (whichever is not NULL). | ||||||
effect_size | DOUBLE PRECISION | Depends on library_size:
An effect_size greater than approximately 0.25 indicates a causal relationship. |
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effect_size_sd | DOUBLE PRECISION | Standard deviation of effect size. | ||||||
embedding_dimension | INTEGER | [Column appears only with multiple dimensions.] Number of past values to use when predicting given value of time series. |