GitLab

* fpgm pruner pytorch and tensorflow 2.0 implementation

api refactor for compression, especially, quantization APIs

* show experiment name in nnictl list

* remove author name in metadata

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

* nni installation test pipeline

* 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 Docs for Tuning Systems with NNI

* Updates based on comments

* updates

* updates

* updates

* add export doc

* try to fix pipeline

* locate npm and node version

* override with node in local dir

* refactor path set

* fix install SMAC on macOS

* show failed job log

* Refine gitignore

* add newline at the end

* add more environments

Fix pylint errors

* 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

Update python sdk and nni_annotation to pass pylint rules

changed pylint rules according to previous discussions. 

fix - sklearn/classification example has a typo in the property 'kernel' when setting model parameterss (#1630)

* fix - sklearn/classification example has a typo in the property 'kernel' when setting model parameters