Added Pandas Profiling Report Function (#78)

Co-authored-by: Nick Schenone <[email protected]>

Author: nschenone

README.md

@@ -18,7 +18,7 @@ it is expected that contributors follow certain guidelines/protocols (please chi
 | [coxph-trainer](coxph_trainer/coxph_trainer.ipynb) | job | cox proportional hazards, kaplan meier plots | training, ml |
 | [describe](describe/describe.ipynb) | job | describe and visualizes dataset stats | analysis |
 | [describe-dask](describe_dask/describe_dask.ipynb) | job | describe and visualizes dataset stats | analysis |
-| [feature-perms](feature_perms/feature_perms.ipynb) | job | estimate feature importances using permutations | analysis |
+| [feature-perms](feature_perms/README.ipynb) | job | estimate feature importances using permutations | analysis |
 | [feature-selection](feature_selection/feature_selection.ipynb) | job | Select features through multiple Statistical and Model filters | data-prep, ml |
 | [gen-class-data](gen_class_data/gen_class_data.ipynb) | job | simulate classification data using scikit-learn | simulators, ml |
 | [github-utils](github_utils/github_utils.ipynb) | job | add comments to github pull requests | notifications, utils |
@@ -27,6 +27,7 @@ it is expected that contributors follow certain guidelines/protocols (please chi
 | [model-server](model_server/model_server.ipynb) | nuclio | generic sklearn model server | serving, ml |
 | [model-server-tester](model_server_tester/model_server_tester.ipynb) | job | test model servers | ml, test |
 | [open-archive](open_archive/open_archive.ipynb) | job | Open a file/object archive into a target directory | data-movement, utils |
+| [pandas-profiling-report](pandas_profiling_report/pandas_profiling_report.ipynb) | job | Create Pandas Profiling Report from Dataset | analysis |
 | [project-runner](project_runner/project_runner.ipynb) | nuclio | Nuclio based - Cron scheduler for running your MLRun projects | utils |
 | [send-email](send_email/send_email.ipynb) | job | Send Email messages through SMTP server | notifications |
 | [sentiment-analysis-serving](sentiment_analysis_serving/bert_sentiment_analysis_serving.ipynb) | nuclio | BERT based sentiment classification model | serving, NLP, BERT, sentiment analysis |
@@ -38,7 +39,6 @@ it is expected that contributors follow certain guidelines/protocols (please chi
 | [test-classifier](test_classifier/test_classifier.ipynb) | job | test a classifier using held-out or new data | ml, test |
 | [tf1-serving](tf1_serving/tf1_serving.ipynb) | nuclio | tf1 image classification server | serving, dl |
 | [tf2-serving](tf2_serving/tf2_serving.ipynb) | nuclio | tf2 image classification server | serving, dl |
-| [v2-model-server](v2_model_server/v2_model_server.ipynb) | serving | generic sklearn model server | serving, ml |
 | [v2-model-tester](v2_model_tester/v2_model_tester.ipynb) | job | test v2 model servers | ml, test |
 | [virtual-drift](virtual_drift/virtual_drift.ipynb) | job | Compute drift magnitude between Time-Samples T and U | ml, serve, concept-drift |
 | [xgb-custom](xgb_custom/xgb_custom.ipynb) | job | train an xgboost model using the low-level api | analysis |