Palash Tyagi
|
7b0d34384a
|
Refactor test assertions to improve readability by removing error messages from assert macros
|
2025-07-12 01:06:02 +01:00 |
|
Palash Tyagi
|
9182ab9fca
|
Add test for PCA fit with n_components greater than n_features to verify behavior
|
2025-07-12 01:00:00 +01:00 |
|
Palash Tyagi
|
de18d8e010
|
applied formatting
|
2025-07-12 00:56:09 +01:00 |
|
Palash Tyagi
|
d5afb4e87a
|
Refactor PCA fit method to use covariance matrix directly and improve mean calculation
|
2025-07-12 00:30:21 +01:00 |
|
Palash Tyagi
|
37c0d312e5
|
Add tests for activation functions, initializers, and loss gradient in DenseNN
|
2025-07-10 23:47:36 +01:00 |
|
Palash Tyagi
|
e7c181f011
|
Refactor error handling in GaussianNB fit method to use assert instead of panic for empty class labels
|
2025-07-10 23:27:23 +01:00 |
|
Palash Tyagi
|
a08fb546a9
|
fixed typo
|
2025-07-07 00:02:24 +01:00 |
|
Palash Tyagi
|
87d14bbf5f
|
Moved activations module and update imports in dense_nn and logreg
|
2025-07-06 23:50:32 +01:00 |
|
Palash Tyagi
|
4648800a09
|
fixed incorrectly commited file
|
2025-07-06 21:16:57 +01:00 |
|
Palash Tyagi
|
96f434bf94
|
Add tests for DenseNN training and MSE loss calculation
|
2025-07-06 20:48:04 +01:00 |
|
Palash Tyagi
|
46abeb12a7
|
applied formatting
|
2025-07-06 20:43:01 +01:00 |
|
Palash Tyagi
|
75d07371b2
|
Increase training epochs from 5000 to 10000 for improved model performance
|
2025-07-06 20:16:06 +01:00 |
|
Palash Tyagi
|
70d2a7a2b4
|
Refactor GaussianNB implementation for improved clarity and stability, including enhanced variance handling and additional unit tests
|
2025-07-06 20:13:59 +01:00 |
|
Palash Tyagi
|
261d0d7007
|
Refactor DenseNN implementation to enhance activation function handling and improve training process
|
2025-07-06 20:03:16 +01:00 |
|
Palash Tyagi
|
ab6d5f9f8f
|
Refactor test module imports in LinReg to improve clarity
|
2025-07-06 19:17:09 +01:00 |
|
Palash Tyagi
|
1c8fcc0bad
|
Refactor LogReg implementation for improved readability by adjusting formatting and organizing imports
|
2025-07-06 19:17:03 +01:00 |
|
Palash Tyagi
|
54a266b630
|
Add unit tests for logistic regression fit and predict methods
|
2025-07-06 18:52:49 +01:00 |
|
Palash Tyagi
|
4ddacdfd21
|
Add unit tests for linear regression fit and predict methods
|
2025-07-06 18:52:15 +01:00 |
|
Palash Tyagi
|
b279131503
|
Add model modules for linear regression, logistic regression, dense neural network, k-means, PCA, and Gaussian Naive Bayes
|
2025-07-06 17:43:17 +01:00 |
|
Palash Tyagi
|
eb948c1f49
|
Add Gaussian Naive Bayes implementation with fit and predict methods
|
2025-07-06 17:43:04 +01:00 |
|
Palash Tyagi
|
d4c0f174b1
|
Add PCA implementation with fit and transform methods
|
2025-07-06 17:42:56 +01:00 |
|
Palash Tyagi
|
b6645fcfbd
|
Add Gaussian Naive Bayes implementation with fit and predict methods
|
2025-07-06 17:42:45 +01:00 |
|
Palash Tyagi
|
b1b7e63fea
|
Add Dense Neural Network implementation with forward and training methods
|
2025-07-06 17:42:08 +01:00 |
|
Palash Tyagi
|
be41e9b20e
|
Add logistic regression model implementation
|
2025-07-06 17:41:14 +01:00 |
|
Palash Tyagi
|
1501ed5b7a
|
Add linear regression model implementation
|
2025-07-06 17:40:55 +01:00 |
|