arima_coefficients(model)

Gets the ARIMA coefficients and the weights of the external regressors for ARIMA_PLUS and ARIMA_PLUS_XREG time series models.

arima_evaluate(model, *[, ...])

Evaluates the model metrics of ARIMA_PLUS or ARIMA_PLUS_XREG time series models.

create_model(model_name, *[, replace, ...])

Creates a BigQuery ML model.

evaluate(model[, input_, ...])

Evaluates a BigQuery ML model.

explain_forecast(model[, input_, horizon, ...])

Forecasts future time series values and explains them with the separate components that make up the time series.

explain_predict(model, input_, *[, ...])

Runs explainable prediction on a BigQuery ML model.

forecast(model[, input_, horizon, ...])

Forecasts future time series values with a BigQuery ML time series model.

generate_embedding(model, input_, *[, ...])

Generates text embedding using a BigQuery ML model.

generate_text(model, input_, *[, ...])

Generates text using a BigQuery ML model.

get_insights(model)

Gets insights from a BigQuery ML model.

global_explain(model, *[, class_level_explain])

Gets global explanations for a BigQuery ML model.

predict(model, input_, *[, threshold, ...])

Runs prediction on a BigQuery ML model.

recommend(model[, input_, trial_id])

Generates recommendations from a BigQuery ML matrix factorization model.

transform(model, input_)

Transforms input data using a BigQuery ML model.