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Update google-cloud-automl to latest version and fix broken test for Catalyst by mcollins42 · Pull Request #637 · Kaggle/docker-python · GitHub

/ docker-python Public

Update google-cloud-automl to latest version and fix broken test for Catalyst #637

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Merged
mcollins42 merged 2 commits into from
Nov 7, 2019
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Update google-cloud-automl to latest version and fix broken test for Catalyst #637

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8f4f263
Advance google-cloud-automl to the latest version (0.7.1) now that th…
mcollins42 Nov 6, 2019
6c38b61
Fix epoch numbers on Catalyst test now that numbering is one-based
mcollins42 Nov 6, 2019
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4 changes: 1 addition & 3 deletions Dockerfile
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Expand Up @@ -336,9 +336,7 @@ RUN pip install --upgrade cython && \
pip install annoy==1.15.2 && \
# Need to use CountEncoder from category_encoders before it's officially released
pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
# TODO(b/143373325) Revert to 0.6.0 to avoid regression in 0.7.0. Go back to
# latest when 0.8.0 is released.
pip install google-cloud-automl==0.6.0 && \
pip install google-cloud-automl && \
# Newer version crashes (latest = 1.14.0) when running tensorflow.
# python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
# which is loaded at startup.
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2 changes: 1 addition & 1 deletion tests/test_catalyst.py
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Expand Up @@ -146,7 +146,7 @@ def test_mnist(self):

metrics = Safict.load("./logs/checkpoints/_metrics.json")
metrics_flag1 = \
metrics.get("train.2", "loss") < metrics.get("train.0", "loss")
metrics.get("train.3", "loss") < metrics.get("train.1", "loss")
metrics_flag2 = metrics.get("best", "loss") < 0.35
self.assertTrue(metrics_flag1)
self.assertTrue(metrics_flag2)
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