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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,2 +1,2 @@ | ||
| VERSION="0.81.7" | ||
| VERSION="0.82.0" | ||
| SAMPLING_RATE = 16000 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,95 @@ | ||
| import argparse | ||
| import configparser | ||
| import os | ||
| import os.path | ||
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| from nkululeko.nkululeko import doit as nkulu | ||
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| def do_it(src_dir): | ||
| parser = argparse.ArgumentParser(description="Call the nkululeko framework.") | ||
| parser.add_argument("--config", help="The base configuration") | ||
| parser.add_argument("--data", help="The databases", nargs="*", action="append") | ||
| parser.add_argument( | ||
| "--label", nargs="*", help="The labels for the target", action="append" | ||
| ) | ||
| parser.add_argument( | ||
| "--tuning_params", nargs="*", help="parameters to be tuned", action="append" | ||
| ) | ||
| parser.add_argument( | ||
| "--layers", | ||
| nargs="*", | ||
| help="layer config for mlp, e.g. l1:128 ", | ||
| action="append", | ||
| ) | ||
| parser.add_argument("--model", default="xgb", help="The model type") | ||
| parser.add_argument("--feat", default="['os']", help="The feature type") | ||
| parser.add_argument("--set", help="The opensmile set") | ||
| parser.add_argument("--with_os", help="To add os features") | ||
| parser.add_argument("--target", help="The target designation") | ||
| parser.add_argument("--epochs", help="The number of epochs") | ||
| parser.add_argument("--runs", help="The number of runs") | ||
| parser.add_argument("--learning_rate", help="The learning rate") | ||
| parser.add_argument("--drop", help="The dropout rate [0:1]") | ||
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| args = parser.parse_args() | ||
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| if args.config is not None: | ||
| config_file = args.config | ||
| else: | ||
| print("ERROR: need config file") | ||
| quit(-1) | ||
| # test if config is there | ||
| if not os.path.isfile(config_file): | ||
| print(f"ERROR: no such file {config_file}") | ||
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| config = configparser.ConfigParser() | ||
| config.read(config_file) | ||
| # fill the config | ||
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| if args.data is not None: | ||
| databases = [] | ||
| for t in args.data: | ||
| databases.append(t[0]) | ||
| print(f"got databases: {databases}") | ||
| config["DATA"]["databases"] = str(databases) | ||
| if args.label is not None: | ||
| labels = [] | ||
| for label in args.label: | ||
| labels.append(label[0]) | ||
| print(f"got labels: {labels}") | ||
| config["DATA"]["labels"] = str(labels) | ||
| if args.tuning_params is not None: | ||
| tuning_params = [] | ||
| for tp in args.tuning_params: | ||
| tuning_params.append(tp[0]) | ||
| config["MODEL"]["tuning_params"] = str(tuning_params) | ||
| if args.layers is not None: | ||
| config["MODEL"]["layers"] = args.layers[0][0] | ||
| if args.target is not None: | ||
| config["DATA"]["target"] = args.target | ||
| if args.epochs is not None: | ||
| config["EXP"]["epochs"] = args.epochs | ||
| if args.runs is not None: | ||
| config["EXP"]["runs"] = args.runs | ||
| if args.learning_rate is not None: | ||
| config["MODEL"]["learning_rate"] = args.learning_rate | ||
| if args.drop is not None: | ||
| config["MODEL"]["drop"] = args.drop | ||
| if args.model is not None: | ||
| config["MODEL"]["type"] = args.model | ||
| if args.feat is not None: | ||
| config["FEATS"]["type"] = f"['{args.feat}']" | ||
| if args.set is not None: | ||
| config["FEATS"]["set"] = args.set | ||
| tmp_config = "tmp.ini" | ||
| with open(tmp_config, "w") as tmp_file: | ||
| config.write(tmp_file) | ||
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| result, last_epoch = nkulu(tmp_config) | ||
| return result, last_epoch | ||
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| if __name__ == "__main__": | ||
| cwd = os.path.dirname(os.path.abspath(__file__)) | ||
| do_it(cwd) # sys.argv[1]) |
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