| Issue | #Downvotes for this reason | By |
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| C | Regularization parameter. The strength of the regularization is inversely proportional to C. Must be strictly positive loss : {'epsilon_insensitive', 'squared_epsilon_insensitive'}, default='epsilon_insensitive' Specifies the loss function. The epsilon-insensitive loss (standard SVR) is the L1 loss, while the squared epsilon-insensitive loss ('squared_epsilon_insensitive') is the L2 loss | default: 1.0 |
| dual | Select the algorithm to either solve the dual or primal optimization problem. Prefer dual=False when n_samples > n_features | default: true |
| epsilon | Epsilon parameter in the epsilon-insensitive loss function. Note that the value of this parameter depends on the scale of the target variable y. If unsure, set ``epsilon=0`` | default: 0.0 |
| fit_intercept | Whether to calculate the intercept for this model. If set to false, no intercept will be used in calculations (i.e. data is expected to be already centered) | default: true |
| intercept_scaling | When self.fit_intercept is True, instance vector x becomes [x, self.intercept_scaling], i.e. a "synthetic" feature with constant value equals to intercept_scaling is appended to the instance vector The intercept becomes intercept_scaling * synthetic feature weight Note! the synthetic feature weight is subject to l1/l2 regularization as all other features To lessen the effect of regularization on synthetic feature weight (and therefore on the intercept) intercept_scaling has to be increased | default: 1.0 |
| loss | default: "epsilon_insensitive" | |
| max_iter | The maximum number of iterations to be run. | default: 1000 |
| random_state | Controls the pseudo random number generation for shuffling the data
Pass an int for reproducible output across multiple function calls
See :term:`Glossary | default: null |
| tol | Tolerance for stopping criteria | default: 0.0001 |
| verbose | Enable verbose output. Note that this setting takes advantage of a per-process runtime setting in liblinear that, if enabled, may not work properly in a multithreaded context | default: 0 |