Support MTL for LSTM and LogisticRegression

[codecov-io]

Codecov Report

Merging #398 into master will decrease coverage by 0.01%. The diff coverage is 88.88%.

@@            Coverage Diff             @@
##           master     #398      +/-   ##
==========================================
- Coverage   82.51%   82.49%   -0.02%     
==========================================
  Files          86       86              
  Lines        4346     4353       +7     
  Branches      802      804       +2     
==========================================
+ Hits         3586     3591       +5     
- Misses        571      572       +1     
- Partials      189      190       +1     

Flag	Coverage Δ
#unittests	82.49% <88.88%> (-0.02%)	:arrow_down:

Impacted Files	Coverage Δ
src/fonduer/utils/config.py	96.87% <ø> (ø)
src/fonduer/learning/task.py	84.48% <66.66%> (-2.31%)	:arrow_down:
src/fonduer/learning/modules/concat_linear.py	100.00% <100.00%> (ø)

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 88.88889% with 2 lines in your changes missing coverage. Please review.

Project coverage is 82.54%. Comparing base (6349756) to head (221e585). Report is 195 commits behind head on master.

Files with missing lines	Patch %	Lines
src/fonduer/learning/task.py	66.66%	1 Missing and 1 partial :warning:

Additional details and impacted files

[](https://app.codecov.io/gh/HazyResearch/fonduer/pull/398?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch) ```diff @@ Coverage Diff @@ ## master #398 +/- ## ========================================== + Coverage 82.51% 82.54% +0.02% ========================================== Files 86 86 Lines 4346 4353 +7 Branches 802 804 +2 ========================================== + Hits 3586 3593 +7 Misses 571 571 Partials 189 189 ``` | [Flag](https://app.codecov.io/gh/HazyResearch/fonduer/pull/398/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/HazyResearch/fonduer/pull/398/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch) | `82.54% <88.88%> (+0.02%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch#carryforward-flags-in-the-pull-request-comment) to find out more. | [Files with missing lines](https://app.codecov.io/gh/HazyResearch/fonduer/pull/398?dropdown=coverage&src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch) | Coverage Δ | | |---|---|---| | [src/fonduer/learning/modules/concat\_linear.py](https://app.codecov.io/gh/HazyResearch/fonduer/pull/398?src=pr&el=tree&filepath=src%2Ffonduer%2Flearning%2Fmodules%2Fconcat_linear.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch#diff-c3JjL2ZvbmR1ZXIvbGVhcm5pbmcvbW9kdWxlcy9jb25jYXRfbGluZWFyLnB5) | `100.00% <100.00%> (ø)` | | | [src/fonduer/utils/config.py](https://app.codecov.io/gh/HazyResearch/fonduer/pull/398?src=pr&el=tree&filepath=src%2Ffonduer%2Futils%2Fconfig.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch#diff-c3JjL2ZvbmR1ZXIvdXRpbHMvY29uZmlnLnB5) | `96.87% <ø> (ø)` | | | [src/fonduer/learning/task.py](https://app.codecov.io/gh/HazyResearch/fonduer/pull/398?src=pr&el=tree&filepath=src%2Ffonduer%2Flearning%2Ftask.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch#diff-c3JjL2ZvbmR1ZXIvbGVhcm5pbmcvdGFzay5weQ==) | `84.48% <66.66%> (-2.31%)` | :arrow_down: | ... and [1 file with indirect coverage changes](https://app.codecov.io/gh/HazyResearch/fonduer/pull/398/indirect-changes?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=HazyResearch)