materia export
Export optimization results to CSV, JSON, or Parquet files.
materia export
Export optimization results to external file formats for further analysis, reporting, or integration with other tools.
Synopsis
materia export [options] [results-dir]Arguments
| Argument | Required | Default | Description | |—————|—————|————-|——————-| | results-dir | No | ./results/ | Path to the results directory |
Options
| Flag | Short | Type | Default | Description | |———|———-|———|————-|——————-| | —format | -f | string | csv | Output format: csv, json, parquet, excel | | —output | -o | path | (auto-generated) | Output file path | | —pareto | -p | boolean | false | Export only Pareto-optimal solutions | | —include-metadata | | boolean | false | Include evaluation metadata columns | | —include-iteration | | boolean | true | Include iteration number column | | —include-timestamp | | boolean | false | Include evaluation timestamp column | | —delimiter | | string | , | CSV delimiter character | | —convergence | | boolean | false | Export convergence history instead of evaluations |
Basic Usage
Export all results to CSV:
materia export --format csv --output results.csvExport only Pareto solutions:
materia export --pareto --output pareto.csvCSV Export
materia export --format csv --output results.csvGenerated file:
iteration,polymer_concentration,crosslinker_ratio,pore_size_nm,membrane_thickness_um,annealing_temp_c,permeability,salt_rejection,is_pareto
1,0.152,0.042,15.3,48.2,88.0,28.4,94.2,false
1,0.231,0.078,4.2,98.3,125.0,18.9,98.7,true
2,0.185,0.058,8.7,62.1,110.5,31.4,95.8,true
...JSON Export
materia export --format json --output results.jsonGenerated file:
{
"campaign": {
"name": "water-membrane-v1",
"domain": "water",
"budget": 300,
"total_evaluations": 225,
"hypervolume": 0.847
},
"evaluations": [
{
"iteration": 1,
"parameters": {
"polymer_concentration": 0.152,
"crosslinker_ratio": 0.042,
"pore_size_nm": 15.3,
"membrane_thickness_um": 48.2,
"annealing_temp_c": 88.0
},
"objectives": {
"permeability": 28.4,
"salt_rejection": 94.2
},
"is_pareto": false
}
]
}Parquet Export
For large datasets or integration with data science tools:
materia export --format parquet --output results.parquetParquet files are columnar, compressed, and efficient for pandas, Polars, and Apache Spark:
import pandas as pd
df = pd.read_parquet("results.parquet")
pareto = df[df["is_pareto"]]Excel Export
materia export --format excel --output results.xlsxThe Excel file includes multiple sheets:
- Evaluations: All evaluated candidates
- Pareto Front: Pareto-optimal solutions only
- Convergence: Hypervolume history per iteration
- Settings: Campaign configuration summary
Convergence History Export
Export the iteration-by-iteration convergence metrics:
materia export --convergence --output convergence.csvGenerated file:
iteration,evaluations,hypervolume,hv_improvement,pareto_size,surrogate_loss,best_permeability,best_salt_rejection
1,15,0.342,,4,0.0523,12.4,97.2
2,30,0.487,0.145,7,0.0234,18.7,98.1
3,45,0.581,0.094,9,0.0187,24.1,98.4
...Including Metadata
Some domains attach additional metadata to evaluations (e.g., predicted phase, intermediate calculations):
materia export --include-metadata --output results_full.csvAuto-Generated Filenames
If —output is not specified, the filename is auto-generated:
<campaign-name>_<type>_<timestamp>.<ext>Example: water-membrane-v1_pareto_20260401_120000.csv
Piping to stdout
Omit —output and use —format csv to pipe directly to other tools:
materia export --pareto --format csv | head -5
materia export --pareto --format json | jq '.evaluations | length'See Also
- materia results for viewing results in the terminal
- Datasets API for uploading exported data
- Pareto Analysis for understanding Pareto solutions