📄️ PREDICT
The PREDICT command lets you run a prediction on a given column using the rest of the column names specified in the
📄️ EXPLAIN
The EXPLAIN command takes an SQL-inf command as input and outputs an "explanation" of the output of the inner
📄️ CLUSTER
The CLUSTER command clusters the rows in the input data table into groups of rows that are similar.
📄️ SENTIMENT
The SENTIMENT commands lets you predict the sentiment of text given a text column as input.
📄️ SIMILAR_TO
The SIMILAR_TO commands lets you compute a similarity score between a specific row and all other rows in the data set.
📄️ SHAP
The SHAP command takes an SQL-inf command as input and outputs a shap value for each row of the output and each column of the input data the inner SQL-inf command.
📄️ TOPICS
The TOPICS commands lets you predict the topics of a piece of text given a text column as input.
📄️ TRANSLATE
The TRANSLATE commands lets you translate text from a number of different languages to English.
📄️ DESCRIBE
The DESCRIBE command summarises your dataset using different useful metrics, so you can get a quick overview without deep analysis.
📄️ FORECAST
The FORECAST commands lets you forecast a time series, given a time and a column to predict.
📄️ CORRELATION
The CORRELATION command calculates the correlations in your dataset between each input column, including both numeric can categorical columns.
📄️ AB_TEST
The AB_TEST command calculates a number of useful statistics for comparing groups,
📄️ UPLIFT
The UPLIFT command is very similar to the AB_TEST command, where we are calculating how effective an A/B test has been.