…13243)

* Remove unused code

* Squash all the PR 9040 commits

initial PR commit

seq_dataset.pyx generated from template

seq_dataset.pyx generated from template #2

rename variables

fused types consistency test for seq_dataset

a

sklearn/utils/tests/test_seq_dataset.py

new if statement

add doc

sklearn/utils/seq_dataset.pyx.tp

minor changes

minor changes

typo fix

check numeric accuracy only up 5th decimal

Address oliver's request for changing test name

add test for make_dataset and rename a variable in test_seq_dataset

* FIX tests

* TST more numerically stable test_sgd.test_tol_parameter

* Added benchmarks to compare SAGA 32b and 64b

* Fixing gael's comments

* fix

* solve some issues

* PEP8

* Address lesteve comments

* fix merging

* avoid using assert_equal

* use all_close

* use explicit ArrayDataset64 and CSRDataset64

* fix: remove unused import

* Use parametrized to cover ArrayDaset-CSRDataset-32-64 matrix

* for consistency use 32 first then 64 + add 64 suffix to variables

* it would be cool if this worked !!!

* more verbose version

* revert SGD changes as much as possible.

* Add solvers back to bench_saga

* make 64 explicit in the naming

* remove checking native python type + add comparison between 32 64

* Add whatsnew with everyone with commits

* simplify a bit the testing

* simplify the parametrize

* update whatsnew

* fix pep8

* initial commit

* used random class

* fixed failing testcases, reverted __init__.py

* fixed failing testcases #2
- passed rng as parameter to ParameterSampler class
- changed seed from 0 to 42 (as original)

* fixed failing testcases #2
- passed rng as parameter to SparseRandomProjection class

* fixed failing testcases scikit-learn#4
- passed rng as parameter to GaussianRandomProjection class

* fixed failing test case because of flake 8