scikit-learn / scikit-learn / 19935
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MechCoder 
[MRG+2] ElasticNet and Lasso now support float32 dtype input (#6913)

ElasticNet and Lasso no longer implicitly convert float32 dtype input to float64 internally.

* Make helper functions in cd use fused types

* Import cblas float functions

* Make enet_coordinate_descent support fused types

* Make dense case work

* Refactor format

* Remove redundant change

* Add cblas files

* Avoid redundant code

* Remove redundant c files and import

* Recover unnecessary change

* Update comment

* Make coef_ type consistent

* Test float32 input

* Add user warning when fitting float32 data with small alpha

* Fix bug

* Change variable to floating type

* Make cd sparse support fused types

* Make CD support fused types when data is sparse

* Add referenced src files

* Avoid duplicated code

* Avoid type casting

* Fix indentation in test

* Avoid type casting in sparse implementation

* Fix indentation

* Fix duplicated intialization code

* Follow PEP8

* Raise tmp precision to double

* Add 64 bit computer check

* Fix test

* Add constraint

* PEP 8

* Make saxpy have the same structure as daxpy

Hopefully this fixes the problems outlined in PR #6913

* Remove wrong hardware test

* Remove dsdot

* Remove redundant asarray

* Add test for fit_intercept

* Make _preprocess_data support other dtypes

* Add concrete value

* Workaround

* Fix error msg

* Move declarartion

* Remove redundant comment

* Add tests

* Test normalize

* Delete warning

* Fix comment

* Add error msg

* Add error msg

* Add what's new

* Fix error msg

54931 of 58101 relevant lines covered (94.54%)

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Jobs
ID Job ID Ran Files Coverage
1 19935.1 (DISTRIB="ubuntu" PYTHON_VERSION="2.7" CYTHON_VERSION="0.23.4" CACHED_BUILD_DIR="$HOME/sklearn_build_ubuntu" COVERAGE=true) 0
94.54
 Travis Job 19935.1
Source Files on build 19935
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