Merge pull request #18 from neptune-ai/SiddhantSadangi-patch-1

Update __init__.py

CHANGELOG.md

@@ -1,3 +1,8 @@
+## [UNRELEASED] neptune-sklearn 2.1.1
+
+### Fixes
+- Fixed method names in docstrings ([#18](https://github.com/neptune-ai/neptune-sklearn/pull/18))
+
 ## neptune-sklearn 2.1.0
 
 ### Changes

src/neptune_sklearn/impl/__init__.py

@@ -110,8 +110,8 @@ def create_regressor_summary(regressor, X_train, X_test, y_train, y_test, nrows=
  log_charts (`bool`, optional): Whether to calculate and log chart visualizations.
  Note: Calculating visualizations is potentially expensive depending on input data and regressor,
  and may take some time to finish. This is equivalent to calling the following functions from
- this module: `log_learning_curve_chart()`, `log_feature_importance_chart()`, `log_residuals_chart()`,
- `log_prediction_error_chart()`, and `log_cooks_distance_chart()`.
+ this module: `create_learning_curve_chart()`, `create_feature_importance_chart()`, `create_residuals_chart()`,
+ `create_prediction_error_chart()`, and `create_cooks_distance_chart()`.
 
  Returns:
  `dict` with all summary items.
@@ -182,8 +182,8 @@ def create_classifier_summary(classifier, X_train, X_test, y_train, y_test, nrow
  log_charts (`bool`, optional): Whether to calculate and log chart visualizations.
  Note: Calculating visualizations is potentially expensive depending on input data and classifier, and
  may take some time to finish. This is equivalent to calling the following functions from this module:
- `log_classification_report_chart()`, `log_confusion_matrix_chart()`, `log_roc_auc_chart()`,
- `log_precision_recall_chart()`, and `log_class_prediction_error_chart()`.
+ `create_classification_report_chart()`, `create_confusion_matrix_chart()`, `create_roc_auc_chart()`,
+ `create_precision_recall_chart()`, and `create_class_prediction_error_chart()`.
 
  Returns:
  `dict` with all summary items.