uploaded model

_2_scale_transform.py

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+"""
+Filename: _2_scale_transform.py <br>
+Title: Custom scale transformer for new user input <br>
+Author: Raghava | GitHub: @raghavtwenty <br>
+Date Created: June 10, 2023 | Last Updated: May 13, 2024 <br>
+Language: Python | Version: 3.10.14, 64-bit <br>
+"""
+
+# Importing required library
+import numpy as np
+
+
+# Transformation function
+def transform_new_input(new_input):
+
+    # Scaled minimum and maximum values from preprocessing
+    scaled_min = np.array(
+        [
+            1.0,
+            10.0,
+            856.0,
+            5775.0,
+            42.0,
+            26.0,
+            0.0,
+            278.0,
+            4.0,
+            1.0,
+            -630355.0,
+            4.0,
+            50.0,
+        ]
+    )
+
+    scaled_max = np.array(
+        [
+            4.0,
+            352752.0,
+            271591638.0,
+            239241314.0,
+            421552.0,
+            3317.0,
+            6302708.0,
+            6302708.0,
+            5.0,
+            5.0,
+            1746749.0,
+            608.0,
+            1012128.0,
+        ]
+    )
+
+    new_input = np.array(new_input)
+
+    # Formula for transformation
+    scaled_input = (new_input - scaled_min) / (scaled_max - scaled_min)
+
+    return scaled_input
+
+
+# Main
+if __name__ == "__main__":
+    # Test case
+    test_input = [
+        [2, 209, 20671, 6316631, 274, 96, 3527, 2757949, 5, 2, 183877, 8, 90494]
+    ]
+
+    print("Scaled value: ")
+    print(transform_new_input(test_input))

m3_xg_boost.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bb191415e4c9d444d0a421f5e35859ed3eadd4da2c920d6a1d43f07b39ecb4ed
+size 686556