GitLab

* add pruner unit test
* modify pruners compatible with torch0.4.1

* first update

* update by folder naming

* add gradient feature selection example

* add examples

* delete unused example

* update by pylint

* update by pylint

* update learnability by info from pylint

* fix pylint in fgtrain

* update fginitlize and learnability by pylint

* update by evan's response

* add gbdt_selector

* update gbdt_selector

* refine the example folder structure

* update feature engineering doc

* update docs of feature selector

* update doc of gradientfeature selector

* update docs of GBDTSelector

* update examples of gradientfeature selector

* update folder structure

* update docs by folder structure

* test pylint

* test

* update by pylint

* update by pylint

* update docs and remove some dependency

* remove unused code

* update by comments

* update by comments

* move the feature selection example path

* delete unused dependency

* unit test for fpgm pruner

* Print INFO log in "standalone" mode

* init on importing

* fpgm pruner pytorch and tensorflow 2.0 implementation

api refactor for compression, especially, quantization APIs

# docstr/pylint of GP Tuner & CurveFitting Assessor & MedianStop Assessor

* trial docstring

* update docstring of batchtuner

* update docstring of batch tuner

* update docstring of evolution tuner

* update docstring and pylint of metis_tuner

* fix pylint related to logger in metis_tuner

* fix pylint

* update

* fix pylint in metis_tuner

* update in networkmorphsim_tuner

* update

* update

* update docstring in hyperopt_tuner

* update batch_tuner

* delete unused space

* update in metis

* update sdk_reference.rst

* update netowrkmorhism

* update networkmorphsim

* update batch_tuner

* update batch_tuner

* update

* update metis

* roll back to print

* update Returns

* update

* delete white space

* add enas macro

* refactor example directory structure

* update docstring

Fix pylint errors

* Add comprehensive tests for tuners (#1570)

* refactor

* fix compressor op_types

Update python sdk and nni_annotation to pass pylint rules

* fix builtin pruners bug

* use type_as

* fix pruner bugs and add model compression README

* fix example bugs

* add AutoCompression.md and remove sensitive pruner

* fix tf pruner bugs

* update overview

* Pruner.md

* fix builtin pruners bug

* Resolve comments in PR 1571

* try to pass ut

* fix typo

* format doc-string

* use tensorflow.compat.v1

* Revert "use tensorflow.compat.v1"

This reverts commit 97a4ed923677c6dfd545fd654c55c424cf490a19.

* fix gp tuner

* [Proposal] demo compressor (#1402)

model compression

* update doc for model compression (#1509)

* Update Overview.md

* Change Doc (#1510)

* refactor compression sdk (#1562)

* refactor compression sdk

* bugfix

* bugfix

* update ut

* Sync model compression doc and implementation (#1575)

* update doc

* formatting

* bugfix

* add import to examples

Add example for customized advisor and some refactoring