| __init__(self) | pygpmp.ml.ml.LinearRegression | |
| __repr__ | pygpmp.ml.ml.LinearRegression | privatestatic |
| __swig_destroy__ | pygpmp.ml.ml.LinearRegression | privatestatic |
| best_fit(self) | pygpmp.ml.ml.LinearRegression | |
| calculate_coeffecient(self) | pygpmp.ml.ml.LinearRegression | |
| calculate_constant(self) | pygpmp.ml.ml.LinearRegression | |
| coeff | pygpmp.ml.ml.LinearRegression | static |
| constant | pygpmp.ml.ml.LinearRegression | static |
| data_size(self) | pygpmp.ml.ml.LinearRegression | |
| error_in(self, *args) | pygpmp.ml.ml.LinearRegression | |
| error_square(self) | pygpmp.ml.ml.LinearRegression | |
| get_input(self, *args) | pygpmp.ml.ml.LinearRegression | |
| mse(self, x_data, y_data) | pygpmp.ml.ml.LinearRegression | |
| num_rows(self, input) | pygpmp.ml.ml.LinearRegression | |
| predict(self, *args) | pygpmp.ml.ml.LinearRegression | |
| r_sqrd(self, x_data, y_data) | pygpmp.ml.ml.LinearRegression | |
| return_coeffecient(self) | pygpmp.ml.ml.LinearRegression | |
| return_constant(self) | pygpmp.ml.ml.LinearRegression | |
| show_data(self) | pygpmp.ml.ml.LinearRegression | |
| split_data(self, test_size, seed, shuffle) | pygpmp.ml.ml.LinearRegression | |
| sum_x | pygpmp.ml.ml.LinearRegression | static |
| sum_x_square | pygpmp.ml.ml.LinearRegression | static |
| sum_xy | pygpmp.ml.ml.LinearRegression | static |
| sum_y | pygpmp.ml.ml.LinearRegression | static |
| sum_y_square | pygpmp.ml.ml.LinearRegression | static |
| thisown | pygpmp.ml.ml.LinearRegression | static |
| x | pygpmp.ml.ml.LinearRegression | static |
| x_test | pygpmp.ml.ml.LinearRegression | static |
| x_train | pygpmp.ml.ml.LinearRegression | static |
| y | pygpmp.ml.ml.LinearRegression | static |
| y_test | pygpmp.ml.ml.LinearRegression | static |
| y_train | pygpmp.ml.ml.LinearRegression | static |