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Galaxy/galaxy/tools/radiuma/run_classifiers.py

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+from pysera.classifier import Classifier
+import argparse
+import pandas as pd
+
+parser = argparse.ArgumentParser()
+parser.add_argument("--x_train", required=True)
+parser.add_argument("--y_train", required=True)
+parser.add_argument("--x_val", required=True)
+parser.add_argument("--y_val", required=True)
+parser.add_argument("--algorithm", choices=["LogisticRegression", "KNeighborsClassifier"], required=True)
+parser.add_argument("--output", required=True)
+args = parser.parse_args()
+
+X_train = pd.read_csv(args.x_train)
+y_train = pd.read_csv(args.y_train)
+X_val = pd.read_csv(args.x_val)
+y_val = pd.read_csv(args.y_val)
+
+clf = Classifier(X_train, y_train, X_val, y_val)
+result = clf.run(algorithm=args.algorithm)
+pd.DataFrame(result).to_csv(args.output, index=False)