Completed Experiment¶

After an experiment status changes from RUNNING to COMPLETE, the UI provides you with several options:

Deploy (Local and Cloud): Refer to Deploying the MOJO Pipeline. (By default, this option is disabled until the MOJO Scoring Pipeline has been built.)

Interpret this Model: Refer to Interpreting a Model. (Not supported for NLP experiments. Please contact H2O support for assistance with interpreting NLP experiments.)

Diagnose Model on New Dataset: Refer to Diagnosing a Model.

Score on Another Dataset: Refer to Score on Another Dataset.

Transform Another Dataset: Refer to Transform Another Dataset. (Not available for Time Series experiments.)

Download Predictions dropdown:

Training (Holdout) Predictions: In csv format, available if a validation set was NOT provided.

Validation Set Predictions: In csv format, available if a validation set was provided.

Test Set Predictions: In csv format, available if a test dataset is used.

Download Python Scoring Pipeline: A standalone Python scoring pipeline for H2O Driverless AI. Refer to Driverless AI Standalone Python Scoring Pipeline.

Download MOJO Scoring Pipeline: A standalone Model Object, Optimized scoring pipeline. Refer to MOJO Scoring Pipelines. (Not available for TensorFlow or RuleFit models.)

Visualize Scoring Pipeline (Experimental): Opens an experiment pipeline visualization page.

Download Summary & Logs: A zip file containing the following files. Refer to the Experiment Summary section for more information.

Experiment logs (regular and anonymized)

A summary of the experiment

The experiment features along with their relative importance

Ensemble information

An experiment preview

Word version of an auto-generated report for the experiment

A target transformations tuning leaderboard

A tuning leaderboard

Download Autoreport: A Word version of an auto-generated report for the experiment. This file is also available in the Experiment Summary zip file. Note that this option is not available for deprecated models.