From 6e918b9615761a7157b779b678ba5186c66fbcde Mon Sep 17 00:00:00 2001
From: muhamad fais aizat <muhfaisaizat@gmail.com>
Date: Tue, 29 Apr 2025 01:33:39 +0700
Subject: [PATCH] fix:memperbaiki testing svr

---
 .../__pycache__/testingModel.cpython-310.pyc  | Bin 4171 -> 4277 bytes
 backend/routes/testingModel.py                |  38 ++++++++++++------
 .../pages/Panel/TestingSVR/InputKernel.jsx    |   5 ++-
 3 files changed, 29 insertions(+), 14 deletions(-)

diff --git a/backend/routes/__pycache__/testingModel.cpython-310.pyc b/backend/routes/__pycache__/testingModel.cpython-310.pyc
index f954df04a328bc5cda3b448116a66c7128cbf04b..04daa363b3dd0efeaccaf6dadefe037b395ca16d 100644
GIT binary patch
delta 635
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delta 515
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diff --git a/backend/routes/testingModel.py b/backend/routes/testingModel.py
index c153222c..e445d4c8 100644
--- a/backend/routes/testingModel.py
+++ b/backend/routes/testingModel.py
@@ -85,22 +85,34 @@ def predict_price(
     }
 
     # Inisialisasi Model SVR dengan parameter yang dipilih
-    svr_params = {
-        "kernel": kernel,
-        "C": C,
-        "gamma": gamma,
-        "epsilon": epsilon
-    }
+    # svr_params = {
+    #     "kernel": kernel,
+    #     "C": C,
+    #     "gamma": gamma,
+    #     "epsilon": epsilon
+    # }
 
-    # Jika kernel adalah Polynomial atau Sigmoid, tambahkan coef0
-    if kernel in ["poly", "sigmoid"]:
-        svr_params["coef0"] = coef0
+    # # Jika kernel adalah Polynomial atau Sigmoid, tambahkan coef0
+    # if kernel in ["poly", "sigmoid"]:
+    #     svr_params["coef0"] = coef0
 
-    # Jika kernel adalah Polynomial, tambahkan degree
-    if kernel == "poly":
-        svr_params["degree"] = degree
+    # # Jika kernel adalah Polynomial, tambahkan degree
+    # if kernel == "poly":
+    #     svr_params["degree"] = degree
+
+    # svr = SVR(**svr_params)
+    if kernel == "linear":
+        svr = SVR(kernel="linear", C=C,  epsilon=epsilon)
+
+    elif kernel == "rbf":
+        svr = SVR(kernel="rbf", C=C, gamma=gamma, epsilon=epsilon)
+
+    elif kernel == "sigmoid":
+        svr = SVR(kernel="sigmoid", C=C, gamma=gamma, coef0=coef0, epsilon=epsilon)
+
+    elif kernel == "poly":
+        svr = SVR(kernel="poly", C=C, gamma=gamma, coef0=coef0, degree=degree, epsilon=epsilon)
 
-    svr = SVR(**svr_params)
     svr.fit(X_train, y_train)
 
     # Prediksi Harga
diff --git a/frontend/src/pages/Panel/TestingSVR/InputKernel.jsx b/frontend/src/pages/Panel/TestingSVR/InputKernel.jsx
index 84527c71..fac0b51f 100644
--- a/frontend/src/pages/Panel/TestingSVR/InputKernel.jsx
+++ b/frontend/src/pages/Panel/TestingSVR/InputKernel.jsx
@@ -10,7 +10,7 @@ import { API_URL } from "../../../helpers/networt";
 const InputKernel = ({ setShowProses, dataHarga, result, setResult }) => {
     const [isLoading, setIsLoading] = useState(false);
     const [selectedKernel, setSelectedKernel] = useState("");
-    const [params, setParams] = useState({ C: "100", epsilon: "0.01", gamma: "0.1", degree: "3", coef0: "0" });
+    const [params, setParams] = useState({ C: "0", epsilon: "0", gamma: "0", degree: "0", coef0: "0" });
     
 
     const handleCheckboxChange = (kernel) => {
@@ -129,6 +129,9 @@ const InputKernel = ({ setShowProses, dataHarga, result, setResult }) => {
                                     name={key}
                                     value={params[key]} 
                                     onChange={handleChange} 
+                                    style={{
+                                        color: params[key] === 0 || params[key] === "0" ? "gray" : "black"
+                                      }}
                                 />
                             </div>
                         ))}