convolution work and added pylint ignore on import errors

carmelgafa · Oct 12, 2024 · 6806ebc · 6806ebc
1 parent 839d7b1
commit 6806ebc
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Showing 14 changed files with 28 additions and 78 deletions.
diff --git a/README.md b/README.md
@@ -1,3 +1,3 @@
 # ml_algorithms
 
-solved machine learning algorithms 
+
diff --git a/activate.bat b/activate.bat
diff --git a/deactivate.bat b/deactivate.bat
diff --git a/environment_creator.py b/environment_creator.py
diff --git a/ml_algorithms/__init__.py b/ml_algorithms/__init__.py
diff --git a/ml_algorithms/src/algorithms/cnn/conv2d.py b/ml_algorithms/src/algorithms/cnn/conv2d.py
@@ -1,3 +1,5 @@
+
+#pylint: disable = E0401
 import torch
 
 input_list = [[1, 6, 2],

diff --git a/ml_algorithms/src/algorithms/cnn/image_convolution.py b/ml_algorithms/src/algorithms/cnn/image_convolution.py
@@ -1,5 +1,8 @@
-import matplotlib.pyplot as plt
+
+#pylint: disable = E0401
 import os
+import cv2
+import matplotlib.pyplot as plt
 
 def process_image(image_path):
     '''load and convert image to grayscale'''
@@ -12,12 +15,13 @@ def process_image(image_path):
 
     plt.imshow(image, cmap='gray')
     plt.show()
+    return image
 
 
 
 if __name__ == '__main__':
-    image_path = 'bud.jpg'
-    
-    image = process_image(image_path)
-    cv2.imshow('image', image)
-    cv2.waitKey(0)
+    bud_path = 'bud.jpg'
+
+    bud_image = process_image(bud_path)
+    cv2.imshow('image', bud_image)
+    cv2.waitKey(0)
diff --git a/ml_algorithms/src/algorithms/linear_regression/batch_gradient_descent/uni_batch_gd_v.py b/ml_algorithms/src/algorithms/linear_regression/batch_gradient_descent/uni_batch_gd_v.py
@@ -1,9 +1,11 @@
 
+
+#pylint: disable = E0401
 import os
 import pandas as pd
 import sys
 
-from univariate_gd_analysis import plot_univariate_gd_analysis
+from algorithms.linear_regression.univariate_gd_analysis import plot_univariate_gd_analysis
 
 
 

diff --git a/ml_algorithms/src/algorithms/linear_regression/normalization/normalization_analysis.py b/ml_algorithms/src/algorithms/linear_regression/normalization/normalization_analysis.py
@@ -1,3 +1,5 @@
+
+#pylint: disable = E0401
 import os
 import pandas as pd
 
@@ -17,6 +19,7 @@
 print(df_data['y'].std())
 
 
-normalized_data_path = os.path.join(os.path.dirname(__file__),'..', 'data_generation', 'data_1f_norm.csv')
+normalized_data_path = os.path.join(
+    os.path.dirname(__file__),'..', 'data_generation', 'data_1f_norm.csv')
 
 df_data.to_csv(normalized_data_path, header=True, index=False)
diff --git a/ml_algorithms/src/algorithms/linear_regression/univariate_gd_analysis.py b/ml_algorithms/src/algorithms/linear_regression/univariate_gd_analysis.py
@@ -1,4 +1,6 @@
 '''script to plot the cost surface and the gradient descent points'''
+
+#pylint: disable = E0401
 import numpy as np
 import matplotlib.pyplot as plt
 import pandas as pd

diff --git a/ml_algorithms/src/algorithms/linear_regression/univariate_linear_regression/univariate_lr.py b/ml_algorithms/src/algorithms/linear_regression/univariate_linear_regression/univariate_lr.py
@@ -1,3 +1,5 @@
+
+#pylint: disable = E0401
 import pandas as pd
 import os
 

diff --git a/ml_algorithms/src/algorithms/logistic_regression/binaryclassification.py b/ml_algorithms/src/algorithms/logistic_regression/binaryclassification.py
@@ -1,3 +1,5 @@
+
+#pylint: disable = E0401
 import numpy as np
 import matplotlib.pyplot as plt
 

diff --git a/ml_algorithms/src/algorithms/logistic_regression/lr_utils.py b/ml_algorithms/src/algorithms/logistic_regression/lr_utils.py
@@ -1,3 +1,5 @@
+
+#pylint: disable = E0401
 import numpy as np
 import h5py
 import os

diff --git a/setup.py b/setup.py
Original file line number	Diff line number	Diff line change
		@@ -1,3 +1,3 @@
		# ml_algorithms

		solved machine learning algorithms