first commit

task9/scalers.py

@@ -0,0 +1,32 @@
+import numpy as np
+import typing
+
+
+class MinMaxScaler:
+    def __init__(self):
+        self.min_vals = None
+        self.max_vals = None
+
+    def fit(self, data: np.ndarray) -> None:
+        self.min_vals = np.min(data, axis=0)
+        self.max_vals = np.max(data, axis=0)
+
+        return
+
+    def transform(self, data: np.ndarray) -> np.ndarray:
+        return (data - self.min_vals) / (self.max_vals - self.min_vals)
+
+
+class StandardScaler:
+    def __init__(self):
+        self.mean_vals = None
+        self.std_vals = None
+
+    def fit(self, data: np.ndarray) -> None:
+        self.mean_vals = np.mean(data, axis=0)
+        self.std_vals = np.std(data, axis=0)
+
+        return
+
+    def transform(self, data: np.ndarray) -> np.ndarray:
+        return (data - self.mean_vals) / self.std_vals