GB in progress

xuanzhi33 · Jun 25, 2024 · 2badf64 · 2badf64
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diff --git a/GB/LinearRegression/linear_regression.py b/GB/LinearRegression/linear_regression.py
@@ -0,0 +1,33 @@
+import numpy as np
+from utils.features import prepare_for_training
+
+class LinearRegression:
+    def __init__(self,data,labels,polynomial_degree = 0,sinusoid_degree = 0,normalize_data = 0):
+        (data_processed, features_mean, features_deviation) = prepare_for_training(data,polynomial_degree = 0,sinusoid_degree = 0,normalize_data = 0)
+        #data_processed = 处理后的数据； features_mean = 数据均值； features_deviation = 数据标准差
+
+        self.data = data_processed
+        self.labels = labels
+        self.features_mean = features_mean
+        self.features_deviation = features_deviation
+        self.polynomial_degree = polynomial_degree
+        self.sinusoid_degree = sinusoid_degree
+        self.normalize_data = normalize_data
+
+        num_features = data_processed.shape[1]
+        self.theta = np.zeros((num_features,1))
+
+    def train(self,alpha,num_iterations = 1000):
+        pass
+    def gradient_descent(self,alpha,num_iterations):
+        m = self.data.shape[0]
+        for i in range(num_iterations):
+            predictions = np.dot(self.data,self.theta)
+            self.theta = self.theta - alpha*(1/m)*np.dot(self.data.T,predictions - self.labels)
+
+    def gradient_step(self,alpha):
+        m = self.data.shape[0]
+        predictions = np.dot(self.data,self.theta)
+        self.theta = self.theta - alpha*(1/m)*np.dot(self.data.T,predictions - self.labels)
+
+
diff --git a/GB/_init_.py b/GB/_init_.py
diff --git a/GB/features/_init_.py b/GB/features/_init_.py
diff --git a/GB/features/generate_polynomials.py b/GB/features/generate_polynomials.py
diff --git a/GB/features/generate_sinusoids.py b/GB/features/generate_sinusoids.py
diff --git a/GB/features/normalize.py b/GB/features/normalize.py
diff --git a/GB/features/prepare_for_training.py b/GB/features/prepare_for_training.py
diff --git a/GB/generate_polynomials.py b/GB/generate_polynomials.py
diff --git a/GB/generate_sinusoids.py b/GB/generate_sinusoids.py
diff --git a/GB/hypothesis/_init_.py b/GB/hypothesis/_init_.py
diff --git a/GB/linear_regression.py b/GB/linear_regression.py
@@ -0,0 +1,2 @@
+
+print(1.7+1.4)
diff --git a/GB/normalize.py b/GB/normalize.py
diff --git a/GB/prepare_for_training.py b/GB/prepare_for_training.py
diff --git a/GB/utils/features/_init_.py b/GB/utils/features/_init_.py
diff --git a/GB/utils/features/generate_polynomials.py b/GB/utils/features/generate_polynomials.py
diff --git a/GB/utils/features/generate_sinusoids.py b/GB/utils/features/generate_sinusoids.py
diff --git a/GB/utils/features/normalize.py b/GB/utils/features/normalize.py
diff --git a/GB/utils/features/prepare_for_training.py b/GB/utils/features/prepare_for_training.py
diff --git a/GB/utils/hypothesis/_init_.py b/GB/utils/hypothesis/_init_.py