Upload 4 files

MLBaseModel.py

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+import torch
+import torch.nn as nn
+
+class MLBaseModel(nn.Module):
+    def __init__(self, input_dim):
+        super(MLBaseModel, self).__init__()
+        self.fc1 = nn.Linear(input_dim, 256)
+        self.fc2 = nn.Linear(256, 128)
+        self.fc3 = nn.Linear(128, 64)
+        self.fc4 = nn.Linear(64, 2)  # Output 2 values: sale_price and days_on_market
+
+    def forward(self, x):
+        x = torch.relu(self.fc1(x))
+        x = torch.relu(self.fc2(x))
+        x = torch.relu(self.fc3(x))
+        x = self.fc4(x)
+        return x

model_files/label_encoder.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2fd02a7b03d8323c065fbb3a010f92710b96d568fe18f48922de1b106d0928e9
+size 306

model_files/real_estate_model.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:39811330ff68ab47c4838bceacc0fb8e87c0120282506d03f1119992996062a0
+size 173496

model_files/scaler.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c321473fc77b93773052027f5dc5e2ae03c51b3b9a39c093c674444103caabc
+size 600