def predict():
model = LocalProxy(get_model)
json_data = json.loads(request.get_json())
print(json_data)
sample_feats = np.array(json_data["features"]).reshape(1, -1)
print(sample_feats)
response = {"prediction_result": float(model.predict(sample_feats)[0])}
return response
def test():
model = LocalProxy(get_model)
sample_feats = np.array([[
1.86822575, 1.36307704, -1.99493428, 4.17351574, 1.23975095,
-0.74618646, 0.57273053, -0.13123484, -1.55183852, 0.22884943,
1.70189471, 0.14462239, 0.10408768, -2.95416672, -1.37412193,
1.88941746, 1.71451074, 1.10465991, -1.59744021, -0.1722165,
-0.30100148, -0.81897228, 0.20681231, -0.26368303, -0.1149581,
-0.24067212, -0.00662945, 0.01725773, 3.14
]])
#print(sample_feats.shape)
response = {"prediction_result": float(model.predict(sample_feats)[0])}
return response
