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databricks / spark-deep-learning

Deep Learning Pipelines for Apache Spark
https://databricks.github.io/spark-deep-learning
Apache License 2.0
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[WIP] check build with tensorflow 1.8 #128

Closed yogeshg closed 5 years ago

codecov-io commented 6 years ago

Codecov Report

Merging #128 into master will decrease coverage by 35.06%. The diff coverage is 100%.

Impacted file tree graph

@@             Coverage Diff             @@
##           master     #128       +/-   ##
===========================================
- Coverage   85.37%   50.31%   -35.07%     
===========================================
  Files          33       33               
  Lines        1921     1926        +5     
  Branches       44       44               
===========================================
- Hits         1640      969      -671     
- Misses        281      957      +676
Impacted Files Coverage Δ
python/sparkdl/transformers/tf_image.py 86.4% <100%> (-7.77%) :arrow_down:
python/sparkdl/graph/pieces.py 0% <0%> (-96.56%) :arrow_down:
python/sparkdl/graph/builder.py 0% <0%> (-93.86%) :arrow_down:
python/sparkdl/graph/tensorframes_udf.py 0% <0%> (-90%) :arrow_down:
python/sparkdl/graph/input.py 18.44% <0%> (-79.62%) :arrow_down:
python/sparkdl/udf/keras_image_model.py 0% <0%> (-73.81%) :arrow_down:
...n/sparkdl/estimators/keras_image_file_estimator.py 21.25% <0%> (-67.72%) :arrow_down:
python/sparkdl/transformers/tf_tensor.py 33.92% <0%> (-64.29%) :arrow_down:
python/sparkdl/transformers/keras_image.py 43.47% <0%> (-56.53%) :arrow_down:
python/sparkdl/transformers/keras_tensor.py 50% <0%> (-50%) :arrow_down:
... and 10 more

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