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Issue on sparse dataframe with pandas >= 0.24.0 #4

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gfournier opened this issue Jun 7, 2019 · 1 comment
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Issue on sparse dataframe with pandas >= 0.24.0 #4

gfournier opened this issue Jun 7, 2019 · 1 comment
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@gfournier
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gfournier commented Jun 7, 2019 •
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LightGBM no more accepts Sparse DataFrame.
See discussion in microsoft/LightGBM#2143
Tested with latest LightGBM (2.2.3)

Reverted pandas to version <0.24.0 in #2
@gfournier gfournier added the bug Something isn't working label Jun 7, 2019
gfournier pushed a commit that referenced this issue Aug 7, 2019
fix bug NumericalEncoder when new column (#4)
63cd55f
gfournier pushed a commit that referenced this issue Aug 7, 2019
@gfournier
fix bug NumericalEncoder when new column (#4)
de28136
gfournier added a commit that referenced this issue Aug 7, 2019
@gfournier
Integrate Jun-Jul developments (#14)
4f40fe3 
* 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
@gfournier
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Fix by #15

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