GitLab

* Update MNIST example path in docs

* revert chinese doc

* 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

* modify docs

* "nni_search_space.json" -> "search_space.json"

* fpgm pruner pytorch and tensorflow 2.0 implementation

api refactor for compression, especially, quantization APIs

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

* 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 Docs for Tuning Systems with NNI

* Updates based on comments

* updates

* updates

* updates

* add export doc

* Add comprehensive tests for tuners (#1570)

* refactor

* Clarify population size needs to be at least concurrency

* Clarify population size needs to be at least concurrency

* fix population size docs

* fix compressor op_types

* Add example of tuning RocksDB on NNI as well as its English and Chinese docs

* Update example of tuning rocksdb

* Update for example of RocksDB

* Revert "Update for example of RocksDB"

This reverts commit 89383937511674658520c3e7114c7a12e80cfcee.

* update

* add announcement to model compression doc

* update version number to 1.1

* 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

* 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.