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| |
|
|
| import sklearn.metrics as skm |
| from math import sqrt |
| from ._metrics_engine import make_group_metric, metric_by_group |
|
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|
|
| group_accuracy_score = make_group_metric(skm.accuracy_score) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.accuracy_score` routine.""" |
|
|
| group_confusion_matrix = make_group_metric(skm.confusion_matrix) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.confusion_matrix` routine.""" |
|
|
| group_precision_score = make_group_metric(skm.precision_score) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.precision_score` routine |
| """ |
|
|
| group_recall_score = make_group_metric(skm.recall_score) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.recall_score` routine |
| """ |
|
|
| group_roc_auc_score = make_group_metric(skm.roc_auc_score) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.roc_auc_score` routine |
| """ |
|
|
| group_zero_one_loss = make_group_metric(skm.zero_one_loss) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.zero_one_loss` routine |
| """ |
|
|
| group_mean_squared_error = make_group_metric(skm.mean_squared_error) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.mean_squared_error` routine |
| """ |
|
|
|
|
| def group_root_mean_squared_error(y_true, y_pred, group_membership, *, |
| multioutput='uniform_average', |
| sample_weight=None): |
| """Wrap the :py:func:`sklearn.metrics.mean_squared_error` routine. |
| |
| The arguments remain the same, with `group_membership` added. |
| The result is then square rooted. |
| However, the only positional arguments supported are `y_true`, |
| `y_pred` and `group_membership`. |
| All others must be specified by name. |
| """ |
| def internal_rmse_wrapper(y_true, y_pred, sample_weight=None): |
| return sqrt(skm.mean_squared_error(y_true, y_pred, |
| multioutput=multioutput, |
| sample_weight=sample_weight)) |
|
|
| return metric_by_group(internal_rmse_wrapper, |
| y_true, y_pred, group_membership, sample_weight=sample_weight) |
|
|
|
|
| group_r2_score = make_group_metric(skm.r2_score) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.r2_score` routine |
| """ |
|
|
| group_max_error = make_group_metric(skm.max_error) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.max_error` routine |
| """ |
|
|
| group_mean_absolute_error = make_group_metric(skm.mean_absolute_error) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.mean_absolute_error` routine |
| """ |
|
|
| group_mean_squared_log_error = make_group_metric(skm.mean_squared_log_error) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.mean_squared_log_error` routine |
| """ |
|
|
| group_median_absolute_error = make_group_metric(skm.median_absolute_error) |
| """A grouped wrapper around the :py:func:`sklearn.metrics.median_absolute_error` routine |
| """ |
|
|
