test_metric: test_metric

In andrewsommerlot/startml: Start doing machine learning with training optimization and ensembles of popular machine learning algorithms powered by scalable implementations in h2o

Description

Caculate performance metrics from models on new data. Depends on Metrics package.

Usage

test_metric(prediction_list, test, eval_metric, y)

Arguments

prediction_list	List object of H2O frames containing predictions.
test	H2O frame object containing labeled data for model evaluation.
eval_metric	Character object one of logloss, MSE, RMSE, MAE, AUC, or mean_per_class_error.
y	Character object of length 1 identifying the column name of the target variable. No Default.

Value

List object same length as prediction_list containing performance of each model on test input with selected metric.

andrewsommerlot/startml documentation built on May 5, 2019, 6:58 p.m.