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client id eliminado y n_features automatico #53

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Merged
J-Fabila merged 1 commit into from
Jun 18, 2025
Merged

client id eliminado y n_features automatico #53

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12 changes: 4 additions & 8 deletions client_cmd.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@
if __name__ == "__main__":

parser = argparse.ArgumentParser(description="Reads parameters from command line.")
parser.add_argument("--client_id", type=int, default="Client Id", help="Number of client")
# parser.add_argument("--client_id", type=int, default="Client Id", help="Number of client")
parser.add_argument("--dataset", type=str, default="dt4h_format", help="Dataloader to use")
parser.add_argument("--metadata_file", type=str, default="metadata.json", help="Json file with metadata")
parser.add_argument("--data_file", type=str, default="data.parquet" , help="parquet o csv file with actual data")
Expand Down Expand Up @@ -53,9 +53,9 @@
config = vars(args)

if config["model"] in ("logistic_regression", "elastic_net", "lsvc"):
print("LINEAR", config["model"], config["n_features"])
config["linear_models"] = {}
config['linear_models']['n_features'] = config["n_features"]
n_feats = len(config["train_labels"])
config['linear_models']['n_features'] = n_feats # config["n_features"]
config["held_out_center_id"] = -1

# Create sandbox log file path
Expand Down Expand Up @@ -111,7 +111,6 @@ def flush(self):
if config["production_mode"] == "True":
node_name = os.getenv("NODE_NAME")
# num_client = int(node_name.split("_")[-1])
num_client = config["client_id"]
data_path = os.getenv("DATA_PATH")
ca_cert = Path(os.path.join(config["certs_path"],"rootCA_cert.pem"))
root_certificate = Path(f"{ca_cert}").read_bytes()
Expand Down Expand Up @@ -139,14 +138,11 @@ def flush(self):
root_certificate = None
central_ip = "LOCALHOST"
central_port = config["local_port"]
num_client = config["client_id"]
# if len(sys.argv) == 1:
# raise ValueError("Please provide the client id when running in simulation mode")
# num_client = int(sys.argv[1])


print("Client id:" + str(num_client))

num_client = 0 # config["client_id"]
(X_train, y_train), (X_test, y_test) = datasets.load_dataset(config, num_client)

data = (X_train, y_train), (X_test, y_test)
Expand Down
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