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The run_experiments operates against the entire set or pending of designed experiments. It should also support a workflow to specify the subset of experiments to make it easy to initiate batches of experiments on multiple computers. This can be done now by passing in a subset of the dataframe from read_experiments.
Also related, this would create separate datasets (SQLite DBs) with the metrics. A single dataset can be assembled by importing from the archive, but an import/assembly of TMIP-EMAT datasets would be nice.
The text was updated successfully, but these errors were encountered:
The run_experiments operates against the entire set or pending of designed experiments. It should also support a workflow to specify the subset of experiments to make it easy to initiate batches of experiments on multiple computers. This can be done now by passing in a subset of the dataframe from read_experiments.
Also related, this would create separate datasets (SQLite DBs) with the metrics. A single dataset can be assembled by importing from the archive, but an import/assembly of TMIP-EMAT datasets would be nice.
The text was updated successfully, but these errors were encountered: