Palash Tyagi
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ed01c4b8f2
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Enhance documentation with usage examples for crate::compute::models
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2025-08-03 16:48:37 +01:00 |
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Palash Tyagi
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e6964795e3
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Enhance documentation with usage examples for statistical routines and utilities
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2025-08-03 16:48:02 +01:00 |
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Palash Tyagi
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7720312354
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Improve comments for clarity in logistic regression, stats overview, PCA, correlation, descriptive statistics, and matrix tests
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2025-08-02 21:59:22 +01:00 |
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Palash Tyagi
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ef322fc6a2
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Refactor assertions in tests to simplify error messages for KMeans, CryptoRng, and Prng modules
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2025-07-29 22:15:45 +01:00 |
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Palash Tyagi
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750adc72e9
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Add missing #[cfg(test)] attribute to tests module in activations.rs
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2025-07-29 21:42:47 +01:00 |
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Palash Tyagi
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5934b163f5
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Refactor random number generation to use rustframe's random module
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2025-07-28 20:37:08 +01:00 |
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Palash Tyagi
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252c8a3d29
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Refactor KMeans module to use inbuilt random
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2025-07-28 20:23:59 +01:00 |
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Palash Tyagi
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a8a532f252
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Remove Spearman correlation function and unused rank import from stats module
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2025-07-16 01:50:28 +01:00 |
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Palash Tyagi
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19c3dde169
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Add Pearson and Spearman correlation functions to stats module
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2025-07-16 01:32:18 +01:00 |
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Palash Tyagi
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a335d29347
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Simplify t-test assertion in unit test for clarity
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2025-07-15 01:05:32 +01:00 |
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Palash Tyagi
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b2f6794e05
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Add inferential module to stats module exports
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2025-07-15 01:02:20 +01:00 |
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Palash Tyagi
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5f1f0970da
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Implement statistical tests: t-test, chi-square test, and ANOVA with corresponding unit tests
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2025-07-15 01:02:14 +01:00 |
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Palash Tyagi
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7bbfb5394f
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Add tests for sample variance and standard deviation calculations
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2025-07-15 01:01:40 +01:00 |
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Palash Tyagi
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285147d52b
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Refactor variance functions to distinguish between population and sample variance
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2025-07-15 01:00:03 +01:00 |
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Palash Tyagi
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64722914bd
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Add test for KMeans empty cluster reinitialization logic
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2025-07-13 02:24:29 +01:00 |
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Palash Tyagi
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86ea548b4f
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Remove test for KMeans empty cluster reinitialization
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2025-07-13 01:51:43 +01:00 |
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Palash Tyagi
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1bdcf1b113
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Refactor test for KMeans empty cluster reinitialization to use distinct data points and remove redundant assertion
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2025-07-13 01:49:15 +01:00 |
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Palash Tyagi
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7c7c8c2a16
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Remove redundant assertion message in empty cluster reinitialization test
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2025-07-13 01:41:41 +01:00 |
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Palash Tyagi
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4d8ed2e908
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Add test for KMeans empty cluster reinitialization logic
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2025-07-13 01:41:20 +01:00 |
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Palash Tyagi
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62d4803075
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Simplify assertion for unique labels in KMeans tests when k equals m
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2025-07-13 01:35:02 +01:00 |
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Palash Tyagi
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19bc09fd5a
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Refactor KMeans centroid initialization and improve handling of edge cases
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2025-07-13 01:29:19 +01:00 |
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Palash Tyagi
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bda9b84987
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Refactor KMeans centroid initialization to handle k=1 case by setting centroid to mean of data
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2025-07-13 00:16:29 +01:00 |
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Palash Tyagi
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c24eb4a08c
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Relax assertion tolerance in KMeans tests to align with algorithm's convergence criteria
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2025-07-12 01:47:40 +01:00 |
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Palash Tyagi
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12a72317e4
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Refactor KMeans fit and predict methods for improved clarity and performance
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2025-07-12 01:45:59 +01:00 |
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Palash Tyagi
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049dd02c1a
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Remove unreachable panic
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2025-07-12 01:35:51 +01:00 |
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Palash Tyagi
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bc87e40481
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Add test for variance smoothing with zero smoothing in GaussianNB
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2025-07-12 01:34:08 +01:00 |
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Palash Tyagi
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eebe772da6
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Add test for invalid activation count in DenseNNConfig to ensure proper configuration
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2025-07-12 01:11:41 +01:00 |
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Palash Tyagi
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7b0d34384a
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Refactor test assertions to improve readability by removing error messages from assert macros
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2025-07-12 01:06:02 +01:00 |
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Palash Tyagi
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9182ab9fca
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Add test for PCA fit with n_components greater than n_features to verify behavior
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2025-07-12 01:00:00 +01:00 |
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Palash Tyagi
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de18d8e010
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applied formatting
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2025-07-12 00:56:09 +01:00 |
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Palash Tyagi
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10018f7efe
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Refactor covariance_matrix to improve mean calculation and add broadcasting for centered data; add tests for vertical and horizontal covariance matrices
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2025-07-12 00:50:14 +01:00 |
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Palash Tyagi
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b7480b20d4
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Add correlation module and update exports in stats module
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2025-07-12 00:30:26 +01:00 |
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Palash Tyagi
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d5afb4e87a
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Refactor PCA fit method to use covariance matrix directly and improve mean calculation
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2025-07-12 00:30:21 +01:00 |
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Palash Tyagi
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493eb96a05
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Implement covariance functions for matrices with comprehensive tests
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2025-07-12 00:29:50 +01:00 |
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Palash Tyagi
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37c0d312e5
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Add tests for activation functions, initializers, and loss gradient in DenseNN
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2025-07-10 23:47:36 +01:00 |
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Palash Tyagi
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e7c181f011
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Refactor error handling in GaussianNB fit method to use assert instead of panic for empty class labels
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2025-07-10 23:27:23 +01:00 |
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Palash Tyagi
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2cd2e24f57
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Add test for gamma_cdf_func to validate behavior for negative input
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2025-07-08 23:21:59 +01:00 |
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Palash Tyagi
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61aeedbf76
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Simplify assertion in lower_incomplete_gamma test for clarity
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2025-07-08 23:18:16 +01:00 |
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Palash Tyagi
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8ffa278db8
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Add tests for uniform and binomial distributions; enhance gamma function tests
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2025-07-08 23:16:19 +01:00 |
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Palash Tyagi
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b2a799fc30
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Add test for median_horizontal function to validate horizontal median calculation
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2025-07-08 21:03:05 +01:00 |
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Palash Tyagi
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5779c6b82d
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Refactor median and percentile functions to handle vertical and horizontal calculations correctly; add corresponding tests for validation
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2025-07-08 21:00:19 +01:00 |
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Palash Tyagi
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a2fcaf1d52
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Add tests for mean, variance, and standard deviation calculations in vertical and horizontal directions
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2025-07-07 23:36:43 +01:00 |
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Palash Tyagi
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122a972a33
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Add statistical distribution functions for matrices
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2025-07-07 21:22:09 +01:00 |
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Palash Tyagi
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e48ce7d6d7
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Add descriptive statistics functions and module integration
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2025-07-07 00:38:09 +01:00 |
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Palash Tyagi
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a08fb546a9
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fixed typo
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2025-07-07 00:02:24 +01:00 |
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Palash Tyagi
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87d14bbf5f
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Moved activations module and update imports in dense_nn and logreg
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2025-07-06 23:50:32 +01:00 |
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Palash Tyagi
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4648800a09
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fixed incorrectly commited file
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2025-07-06 21:16:57 +01:00 |
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Palash Tyagi
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96f434bf94
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Add tests for DenseNN training and MSE loss calculation
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2025-07-06 20:48:04 +01:00 |
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Palash Tyagi
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46abeb12a7
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applied formatting
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2025-07-06 20:43:01 +01:00 |
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Palash Tyagi
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75d07371b2
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Increase training epochs from 5000 to 10000 for improved model performance
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2025-07-06 20:16:06 +01:00 |
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