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TFoS Support #63
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TFoS Support #63
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2. Introduce Kafka to avoid broadcast huge tranning data
2. Introduce Kafka to avoid broadcast huge tranning data
…o support integrating TFoS infuture
2. Introduce Kafka to avoid broadcast huge tranning data
…o support integrating TFoS infuture
Codecov Report
@@ Coverage Diff @@
## master #63 +/- ##
==========================================
- Coverage 83.06% 78.04% -5.03%
==========================================
Files 23 25 +2
Lines 1234 1512 +278
Branches 5 5
==========================================
+ Hits 1025 1180 +155
- Misses 209 332 +123
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What changes are proposed in this pull request?
Adding some kinds of Running mode. For now, it support "Normal" and "TFos"
Here is the code show how it works:
When runningMode is set to Normal, this means tensorflow will be invode with the number of fitParam's size and they do have the same training data but with diffrent fitParam and multi model will be saved.
When runningMode is set to TFoS, this means a tensorflow cluster will be invoked and only one model will be saved.
How is this patch tested?
Manual tests
Since TFoS only can run in standalone mode, for now it do not support unitest. But i provide TFoSTest.py to test Manually.
Fix this Issue: #52