Man pages for casxue/bis557
Coursework for BIS 557
| emnist | A data set for training, testing, and validation from EMNIST |
| grapes-times-grapes-.sparse.matrix | Matrix multiplication operator for sparse.matrix class |
| irwls_glm_ridge | Fit a iteratively re-weighted generalized linear model w/ a... |
| linear_model | Fit a linear model |
| lm_patho | A test data set for the linear_model() function |
| mnist_test | A test data set from MNIST |
| mnist_train | A training data set from MNIST |
| nn_backward_prop | Backward propagation function for a neural net |
| nn_forward_prop | Forward propagation function for a neural net |
| nn_make_weights | Function to initialize weights and biases for a neural net |
| nn_predict | Prediction from a training neural net |
| nn_sgd | Stochastic gradient descent (SGD) to estimate a neural net |
| plus-.sparse.matrix | Addition operator for sparse.matrix class |
| ridge_reg | Fit a ridge regression model |
| ridge_test | A test data set for testing the ridge_reg() function |
| ridge_train | A training data set for testing the ridge_reg() function |
| sparse_add | Addition function for sparse.matrix class |
| sparse.matrix | Functions for sparse.matrix class |
| sparse_multiply | Multiplication functions for sparse.matrix class |
| t.sparse.matrix | Transpose function for sparse.matrix class |
| util_mae_p | Mean absolute error derivative function |
| util_mse_p | MSE derivative function |
| util_ReLU | ReLU function |
| util_ReLU_p | ReLU derivative function |
