Import public datasets from OpenML #3
Comments
gfournier
changed the title
gfournier
pushed a commit
that referenced
this issue
Aug 7, 2019
* fix casting bug + test on filter/map function on dicos * add function to retrieve 2-uple list of edges from generic tuple edges * fix bug on DebugPassThrough * add 'get_subpipeline' methods to create sub GraphPipeline from a given GraphPipeline * add docstring get_subpipeline
gfournier
pushed a commit
that referenced
this issue
Aug 7, 2019
* fix casting bug + test on filter/map function on dicos * add function to retrieve 2-uple list of edges from generic tuple edges * fix bug on DebugPassThrough * add 'get_subpipeline' methods to create sub GraphPipeline from a given GraphPipeline * add docstring get_subpipeline
gfournier
added a commit
that referenced
this issue
Aug 7, 2019
* Bump version to 0.1.0 * Change output type vectorizer (#1) * change setup * change default output type of countvectorizer to bet in32 * change dtype to numerical encoder as well + tests * add output type test on NumImputer * fix bug NumericalEncoder when new column (#4) * Block Search + other (#2) * add make_pipeline function (works like sklearn) * fix type "_if_fitted" -> "_already_fitted" * * add handling of columns_to_encode == "--object--" in target encoder * corresponding test * add Numerical encoder test for "columns_to_encode == '--object--' " * expose command argument parser outside, to be able to add new arguments. * change WordVectorizer in char mod distributions + fix bug in HyperRangeBetaInt * change default behavior : encode "columns_to_encode == '--object--' " * remove 'bug' (double return) * allow text preprocessors to concat their inputs * add 'RandomTrainTestCv' and 'IndexTrainCv' cv-like object. * same api as a regular cv object ... * ... but only one split * add 'use_for_block_search' attribute + filter models based on that * * add block search iterator * automl config : models_to_keep_block_search * fix typo in test * ignore Warning in test * Graph pipeline subgraph from dev (#3) * fix casting bug + test on filter/map function on dicos * add function to retrieve 2-uple list of edges from generic tuple edges * fix bug on DebugPassThrough * add 'get_subpipeline' methods to create sub GraphPipeline from a given GraphPipeline * add docstring get_subpipeline * Fix numerical encoder max_cum_proba (#6) * Fix bug automl group (#5) * allow reload of groups * * add average_precision default transformation * go back to default transformation if unknown * return dataframe in command * Fix dataset load from SG premises * Fix dummy encoding type in NumericalEncoder
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Use scikit-learn function:
sklearn.datasets.fetch_openmlTitanic dataset: https://www.openml.org/d/40945
Abalone: https://www.openml.org/t/9900
The text was updated successfully, but these errors were encountered: