Command Line Interface¶
- apax.cli.apax_app.eval(train_config_path: Path = <typer.models.ArgumentInfo object>, n_data: int = <typer.models.OptionInfo object>)[source]¶
Starts performing the evaluation of the test dataset with parameters provided by a configuration file.
- apax.cli.apax_app.md(train_config_path: Path = <typer.models.ArgumentInfo object>, md_config_path: Path = <typer.models.ArgumentInfo object>, log_level: str = <typer.models.OptionInfo object>)[source]¶
Starts performing a molecular dynamics simulation (currently only NHC thermostat) with parameters provided by a configuration file.
- apax.cli.apax_app.schema_md(section: str = <typer.models.ArgumentInfo object>, keywords: bool = <typer.models.OptionInfo object>, flat: bool = <typer.models.OptionInfo object>)[source]¶
Print the MD config JSON schema to stdout.
- apax.cli.apax_app.schema_train(section: str = <typer.models.ArgumentInfo object>, keywords: bool = <typer.models.OptionInfo object>, flat: bool = <typer.models.OptionInfo object>)[source]¶
Print the training config JSON schema to stdout.
- apax.cli.apax_app.schema_vscode()[source]¶
Generate JSON schema files under .vscode/ for YAML autocompletion.
- apax.cli.apax_app.template_md_config()[source]¶
Creates an MD input template in the current working directory.
- apax.cli.apax_app.template_train_config(full: bool = <typer.models.OptionInfo object>)[source]¶
Creates a training input template in the current working directory.
- apax.cli.apax_app.train(train_config_path: Path = <typer.models.ArgumentInfo object>, log_level: str = <typer.models.OptionInfo object>)[source]¶
Starts the training of a model with parameters provided by a configuration file.
- apax.cli.apax_app.validate_md_config(config_path: Path = <typer.models.ArgumentInfo object>)[source]¶
Validates a molecular dynamics configuration file.