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Merged
merged 2 commits into from
Oct 22, 2022
Merged

handle training errors better #452

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86dd5a5
handle training errors better
Oct 22, 2022
6c0d7ac
lints
Oct 22, 2022
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2 changes: 1 addition & 1 deletion pgml-dashboard/app/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -150,7 +150,7 @@ class Meta:

@property
def key_metric(self):
return self.metrics[self.project.key_metric_name]
return self.metrics[self.project.key_metric_name] or float("nan")

def live(self):
last_deployment = Deployment.objects.filter(project=self.project).last()
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13 changes: 7 additions & 6 deletions pgml-dashboard/app/views/models.py
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Expand Up @@ -34,20 +34,21 @@ def get_context_data(self, **kwargs):
if object is None:
return HttpResponseNotFound("Model not found")


context["title"] = object.project.name + " - " + object.algorithm
if object.runtime == "rust":
try: # v1 models have dict columns
context["features"] = {
feature: object.snapshot.analysis.get(f"{feature}_p50")
for feature in map(lambda column: column["name"], filter(lambda column: not column["label"], object.snapshot.columns))
for feature in object.snapshot.columns.keys() - object.snapshot.y_column_name
}
else:
except AttributeError: # v2 models have list columns
context["features"] = {
feature: object.snapshot.analysis.get(f"{feature}_p50")
for feature in object.snapshot.columns.keys() - object.snapshot.y_column_name
for feature in map(
lambda column: column["name"], filter(lambda column: not column["label"], object.snapshot.columns)
)
}

if object.search:
if object.search and "search_results" in object.metrics:
context["search_results"] = {}
for key, value in object.metrics["search_results"].items():
context["search_results"][key] = SafeString(json.dumps(value))
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21 changes: 9 additions & 12 deletions pgml-dashboard/app/views/snapshots.py
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Expand Up @@ -60,8 +60,7 @@ def get(request, id):
samples = []

columns = OrderedDict()
try:
# v1.0 format
try: # v1 snapshots have dict columns
column_names = sorted(list(snapshot.columns.keys()))
for target in snapshot.y_column_name:
column_names.remove(target)
Expand All @@ -86,8 +85,7 @@ def get(request, id):
"dip": snapshot.analysis[column_name + "_dip"],
"samples": SafeString(json.dumps(sample)),
}
except:
# v2.0 format
except AttributeError: # v2 models have list columns
for column in snapshot.columns:
column_name = column["name"]
if "[]" not in column_name:
Expand All @@ -98,17 +96,16 @@ def get(request, id):
columns[column_name] = {
"name": column_name,
"type": column["pg_type"],
"q1": snapshot.analysis[column_name + "_p25"],
"median": snapshot.analysis[column_name + "_p50"],
"q3": snapshot.analysis[column_name + "_p75"],
"mean": snapshot.analysis[column_name + "_mean"],
"stddev": snapshot.analysis[column_name + "_stddev"],
"min": snapshot.analysis[column_name + "_min"],
"max": snapshot.analysis[column_name + "_max"],
"q1": snapshot.analysis.get(column_name + "_p25"),
"median": snapshot.analysis.get(column_name + "_p50"),
"q3": snapshot.analysis.get(column_name + "_p75"),
"mean": snapshot.analysis.get(column_name + "_mean"),
"stddev": snapshot.analysis.get(column_name + "_stddev"),
"min": snapshot.analysis.get(column_name + "_min"),
"max": snapshot.analysis.get(column_name + "_max"),
"samples": SafeString(json.dumps(sample)),
}


# TODO reconsider spaces in column_names, fix during snapshot?
fixed_columns = OrderedDict()
for column_name, values in columns.items():
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