Loss Mean Squared Logarithmic error.

[abhinavsp0730]

• Added loss

• Added test cases

• Formatted the code with black

• Added the documention

[codecov-commenter]

Codecov Report

Merging #95 into master will increase coverage by 0.26%.
The diff coverage is 95.55%.

@@            Coverage Diff             @@
##           master      #95      +/-   ##
==========================================
+ Coverage   71.27%   71.53%   +0.26%     
==========================================
  Files          91       93       +2     
  Lines        4055     4100      +45     
==========================================
+ Hits         2890     2933      +43     
- Misses       1165     1167       +2     

Impacted Files	Coverage Δ
...legy/losses/mean_squared_logarithmic_error_test.py	93.10% <93.10%> (ø)
elegy/losses/__init__.py	100.00% <100.00%> (ø)
elegy/losses/mean_squared_logarithmic_error.py	100.00% <100.00%> (ø)

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[abhinavsp0730]

Hi, @charlielito please review.
Thanks

[charlielito]

Looks really good!

Only one thing, from now on we are making the tests also comparing with tensorflow's implementation like in this test: https://github.com/poets-ai/elegy/blob/master/elegy/losses/binary_crossentropy_test.py#L36

Also we made today some changes to the auto docs, please run again bash scripts/run-docs.sh

[abhinavsp0730]

Hy, @charlielito I've done all the changes suggested by you. Would you please review again. Thanks.

[charlielito]

LGTM