| Issue | #Downvotes for this reason | By |
|---|
| alpha | Constant that multiplies the regularization term if regularization is used | default: 0.0001 |
| class_weight | Preset for the class_weight fit parameter Weights associated with classes. If not given, all classes are supposed to have weight one The "balanced" mode uses the values of y to automatically adjust weights inversely proportional to class frequencies in the input data as ``n_samples / (n_classes * np.bincount(y))`` | default: null |
| early_stopping | Whether to use early stopping to terminate training when validation score is not improving. If set to True, it will automatically set aside a stratified fraction of training data as validation and terminate training when validation score is not improving by at least tol for n_iter_no_change consecutive epochs .. versionadded:: 0.20 | default: false |
| eta0 | Constant by which the updates are multiplied | default: 1.0 |
| fit_intercept | Whether the intercept should be estimated or not. If False, the data is assumed to be already centered | default: true |
| l1_ratio | The Elastic Net mixing parameter, with `0 <= l1_ratio <= 1` `l1_ratio=0` corresponds to L2 penalty, `l1_ratio=1` to L1 Only used if `penalty='elasticnet'` .. versionadded:: 0.24 | default: 0.15 |
| max_iter | The maximum number of passes over the training data (aka epochs) It only impacts the behavior in the ``fit`` method, and not the :meth:`partial_fit` method .. versionadded:: 0.19 | default: 1000 |
| n_iter_no_change | Number of iterations with no improvement to wait before early stopping .. versionadded:: 0.20 | default: 5 |
| n_jobs | The number of CPUs to use to do the OVA (One Versus All, for
multi-class problems) computation
``None`` means 1 unless in a :obj:`joblib.parallel_backend` context
``-1`` means using all processors. See :term:`Glossary | default: null |
| penalty | default: null | |
| random_state | Used to shuffle the training data, when ``shuffle`` is set to
``True``. Pass an int for reproducible output across multiple
function calls
See :term:`Glossary | default: 0 |
| shuffle | Whether or not the training data should be shuffled after each epoch | default: true |
| tol | The stopping criterion. If it is not None, the iterations will stop when (loss > previous_loss - tol) .. versionadded:: 0.19 | default: 0.001 |
| validation_fraction | The proportion of training data to set aside as validation set for early stopping. Must be between 0 and 1 Only used if early_stopping is True .. versionadded:: 0.20 | default: 0.1 |
| verbose | The verbosity level | default: 0 |
| warm_start | When set to True, reuse the solution of the previous call to fit as
initialization, otherwise, just erase the previous solution. See
:term:`the Glossary | default: false |
Severity: Core Warning
Message: Module 'mysqli' already loaded
Filename: Unknown
Line Number: 0
Backtrace: