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Modified to use dataset and pipelinedata #193

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Merged
GraemeMalcolm merged 10 commits into from
Feb 14, 2020
Merged

Modified to use dataset and pipelinedata #193

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916e867
Modified to use dataset and pipelinedata
GraemeMalcolm Feb 13, 2020
58c506d
Create diabetes dataset if no dataset specified
GraemeMalcolm Feb 14, 2020
c310023
Reverted null build_id check
GraemeMalcolm Feb 14, 2020
37cce80
Added MSE tag
GraemeMalcolm Feb 14, 2020
55e0ac4
Reverted logic for NULL Build ID
GraemeMalcolm Feb 14, 2020
ce3227e
Force new model if previous onehas no metric tag
GraemeMalcolm Feb 14, 2020
0743afb
Removed unused DATA variables
GraemeMalcolm Feb 14, 2020
a380c0d
Removed unused DATA vars
GraemeMalcolm Feb 14, 2020
5880008
Updated workaround for non-metric-tagged models
GraemeMalcolm Feb 14, 2020
529c441
tidied up code
GraemeMalcolm Feb 14, 2020
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tidied up code
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@GraemeMalcolm
GraemeMalcolm committed Feb 14, 2020
commit 529c441c6533af8ec8e260184a87b99d920bef1c
5 changes: 2 additions & 3 deletions diabetes_regression/evaluate/evaluate_model.py
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Expand Up @@ -123,9 +123,8 @@
model_name, tag_name, exp.name, ws)

if (model is not None):
if (metric_eval not in model.tags):
production_model_mse = 10000
else:
production_model_mse = 10000
if (metric_eval in model.tags):
production_model_mse = float(model.tags[metric_eval])
new_model_mse = float(run.parent.get_metrics().get(metric_eval))
if (production_model_mse is None or new_model_mse is None):
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