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update

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Newnius
2020-05-02 19:48:21 +08:00
parent 89c12cd0e4
commit 2dce590446
2 changed files with 28 additions and 40 deletions
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52
.idea/workspace.xml generated
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@@ -1,9 +1,7 @@
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</list>
<list default="true" id="0aedafd8-e57e-462a-beda-65af0b91f3df" name="Default Changelist" comment="" />
<ignored path="$PROJECT_DIR$/out/" />
<option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" />
<option name="SHOW_DIALOG" value="false" />
@@ -50,7 +48,7 @@
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</usages-collector>
@@ -60,7 +58,7 @@
<entry key="Dockerfile" value="81" />
<entry key="Markdown" value="141" />
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<entry key="Python" value="4313" />
<entry key="Python" value="4322" />
</counts>
</usages-collector>
</session>
@@ -70,8 +68,8 @@
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@@ -91,13 +89,13 @@
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@@ -106,8 +104,8 @@
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@@ -185,8 +183,8 @@
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<option value="$PROJECT_DIR$/serve.py" />
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@@ -229,7 +227,7 @@
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@@ -270,12 +268,12 @@
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@@ -401,21 +399,21 @@
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@@ -424,8 +422,8 @@
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16
serve.py
View File

@@ -97,11 +97,7 @@ def train_models(job):
# transform data to be supervised learning
lag = 4
supervised = timeseries_to_supervised(diff_values, lag)
print(supervised)
print(type(supervised))
print(supervised.shape)
supervised_values = supervised.values
print(supervised_values)
batch_size = 32
if supervised_values.shape[0] < 100:
@@ -161,21 +157,13 @@ def predict(job, seq):
# transform data to be stationary
raw_values = df.values
print(raw_values)
diff_values = difference(raw_values, 1)
print(diff_values)
# transform data to be supervised learning
lag = 4
supervised = timeseries_to_supervised(diff_values, lag)
print(type(supervised))
print(supervised)
supervised_values = supervised[-batch_size:]
print(type(supervised_values))
print(supervised_values)
print(supervised_values.shape)
test = supervised_values.values
print(test)
test = test.reshape(test.shape[0], test.shape[1])
test_scaled = scaler.transform(test)
@@ -198,7 +186,7 @@ def predict(job, seq):
rmse = sqrt(mean_squared_error(raw_values[-batch_size:], predictions))
print(predictions, raw_values[-batch_size:])
return 1, True
return predictions[-1], True
class MyHandler(BaseHTTPRequestHandler):
@@ -223,6 +211,8 @@ class MyHandler(BaseHTTPRequestHandler):
if not success:
msg = {'code': 2, 'error': "Job " + job + " not exist"}
else:
msg = {'code': 2, 'error': "", "total": pred}
except Exception as e:
track = traceback.format_exc()
print(track)