
docs/_modules/iguanas/pipeline/class_accessor.html (modified).
docs/_modules/iguanas/metrics/unsupervised.html (modified).docs/_modules/iguanas/metrics/pairwise.html (modified).docs/_modules/iguanas/metrics/classification.html (modified).docs/_modules/iguanas/correlation_reduction/agglomerative_clustering_reducer.html (modified).docs/_images/complex_example_setup.png (modified).7df872c86f1702dfec183289042f19f000fbfcaa, Ma1:04 PM: Added exception test in test_parallel_pipeline to increase coverage to 100%.a837741f91021bfeebf5a22ee4bf6eed8b7d773f, Ma5:59 PM: Updated variable names in advanced_bayes_search_cv_example, re-ran documentation process.
Updated code so params on separate lines.
74e5c9eecfbbc157d3ad212c4b1faef5fe61c972, Ma2:46 PM: Removed unused params from classes. Changed RuleGeneratorDTSpark to ensure rule names are the same when fit run without reinstantiating (same as other rule generators). Moved return_columns_dtypes from utils to _base_generator, renamed _infer_dtypes_from_X. 56fd95b4fa4a41909b3a06f1af1bcdc480ab7be0, Ma3:27 PM: Updated _BaseOptimiser with num_cores and verbose kwargs. f11b13cadfa0d49fbe1864c74182d96556fc7bca, Ma3:22 PM: Updated wording of advanced_bayes_search_cv_example so fraud->reject and good->approve. 6c0f774d0f78bdbe57a7a59ce3450cd555069b2e, Ma2:09 PM: Updated unit tests to check for all warning/exception messages. 755e337fa324d93e644ac266c89afee65432f330, Ma3:09 PM: Added custom warnings and exceptions to modules (where relevant). Updated exceptions unit tests to match warnings module. Updated CONTRIBUTING.md with instructions on how to run. Updated test scripts to run unit, NB and docstring tests. 8f0486bfcf23b81efa9d8226ae9a209c6b890ec2, Ma5:09 PM: Finished adding docstring examples to every module. ac6ca01e1542ac98f6972a4b28676d839ddd1f0b, Ma3:05 PM: Added docstring examples to classes in metric module and class_accessor in pipeline module. e37ac236200224d50779aeca107574bfaa671816, Ma1:52 PM: Added example to docstrings of AgglomerativeClusterReducer class. Updated unit tests, notebooks and documentation cff1fab5788c85ea509e2c085030bedc1ddbdba4, Ma5:26 PM: Added Bounds class to metrics module. Also updated Rules class to allow for empty rule set to be created. 15f05e485ad52650cec3edfc013bd87d47ca03b7, Febru5:09 PM: Added try/except to ParallelPipeline to allow it to run through even when a step fails to generate a rule set. Also updated output of _optimise_single_rule in BayesianOptimiser to clean up code. 337e72274abd5473f2ad4b3621035017f7cf0b20, Febru4:41 PM: Add the following operators to those supported by converters in class: greater_field, greater_or_equal_field, less_field, less_or_equal_field. What's new in version 0.1.4 Delta between version 0.1.3 and version 0.1.4 Source: Github Commits: