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28c7558f01140ac37a9a6a0334d5c86e0001e7bf
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22 Commits

Author SHA1 Message Date
Ricardo Montañana
28c7558f01 Update Readme 
Add max_features > n_features test
Add make doc
 2021-04-27 23:15:21 +02:00
Ricardo Montañana Gómez
e19d10f6a7 Package doc #7 (#34) 
* Add first doc info to sources

* Update doc to separate classes in api

* Refactor build_predictor

* Fix random_sate issue in non linear kernels

* Refactor score method using base class implementation

* Some quality refactoring

* Fix codecov config.

* Add sigmoid kernel

* Refactor setup and add Makefile
 2021-04-26 09:10:01 +02:00
Ricardo Montañana Gómez
f438124057 Fix mistakes (#24) (#28) 
Put pandas requirements in notebooks
clean requirements.txt
 2021-03-23 13:27:32 +01:00
Ricardo Montañana Gómez
3bdac9bd60 Complete source comments (#22) 
* Add Hyperparameters description to README
Comment get_subspace method
Add environment info for binder (runtime.txt)

* Complete source comments
Change docstring type to numpy
update hyperameters table and explanation

* Update Jupyter notebooks
 2021-01-19 10:44:59 +01:00
Ricardo Montañana Gómez
e4ac5075e5 Add main workflow action (#20) 
* Add main workflow action

* lock scikit-learn version to 0.23.2

* exchange codeship badge with githubs
 2021-01-11 13:46:30 +01:00
Ricardo Montañana
7e932de072 #3 Add sample_weights to score, update notebooks 
Update readme to use new names of notebooks
 2020-06-09 01:46:38 +02:00
Ricardo Montañana
26273e936a #3 Add degree hyperparam and update notebooks 
Update readme to add new  notebooks
 2020-06-08 20:16:42 +02:00
Ricardo Montañana
05b462716e #3 First try, change LinearSVC to SVC 
make a builder
start changing tests
 2020-06-07 20:26:59 +02:00
Ricardo Montañana
8ba9b1b6a1 Remove travis ci and set codecov percentage 2020-06-06 19:47:00 +02:00
Ricardo Montañana
b9f14aec05 #4 Add code coverage & codacy badge 
Add code coverage configuration in codecov
Add some tests
 2020-06-06 03:04:18 +02:00
Ricardo Montañana
724a4855fb Adapt some notebooks 2020-05-30 11:09:59 +02:00
Ricardo Montañana
ed98054f0d First approach 
Added max_depth, tol, weighted samples
 2020-05-29 12:46:10 +02:00
Ricardo Montañana
77f10281c1 Make project python package friendly 
- Add setup.py
- Move classes to module files
- Move tests folder inside module folder
 2020-05-23 23:40:33 +02:00
Ricardo Montañana
e51690ed95 Implement grapher and notebook to test it 2020-05-22 19:42:13 +02:00
Ricardo Montañana
a4595f5815 Update notebooks and readme with cosmetic changes 2020-05-20 18:11:57 +02:00
Ricardo Montañana
9f30627e47 Fix main and small issues in notebook test 2020-05-17 18:06:03 +02:00
Ricardo Montañana
d997bc3460 Add model comparison to notebook test 2020-05-17 16:17:57 +02:00
Ricardo Montañana
ad51d0b36b Update readme, add travis config 2020-05-17 00:13:29 +02:00
Ricardo Montañana
6a8ef288ce add _linear_function to Stree 
First try to implement predict_proba with sigmoid based on Platt
 2020-05-16 20:34:03 +02:00
Ricardo Montañana
80b5cf8e72 Implement predict & predict_proba optimization 
reduces time in two orders of magnitude in creditcard dataset
 2020-05-15 23:35:33 +02:00
Ricardo Montañana
e56b955b92 Implement predict_proba with test. 
Fix tree overload with dataset in nodes only needed in tests
 2020-05-14 18:42:17 +02:00
Ricardo Montañana Gómez
2ca25fd656 Initial commit 2020-05-09 23:01:30 +02:00