Describe the issue
We are trying to register the model with pzmm sasctl (1.10.1) and MAS in Viya 3.5. When we try to score, it fails with the error: "EM_PREDICTION = prediction[0][0] TypeError: 'float' object is not subscribable" Error: pm.execute failed. resultCode= -1958744061
So far, we found out that if the input data shape =1, then the result must be a scalar value prediction[0][0]. Our model returns an array of floats and fails because of this.
Is it possible to have a model input as a row but the output as a table?
Expected behavior
When I use a single row to score as a dictionary using the below code it should return a predicted value:-
from sasctl.services import microanalytic_score as mas
score_obj = dict(data_to_score.iloc[0,:][slump_col])
mas_obj = mas.execute_module_step("slump0min", "score", **score_obj)
for key, value in mas_obj.items():
print(f"{key}: {value}")
resultCode: -1958743884.0
EM_PREDICTION: None
When I use the score GUI from SAS MM using a data table stored in PUBLIC lib with more than one row, it should give me the scored regression output from catboost model
Stack Trace
ERROR: Line 301: Traceback (most recent call last):
File "/opt/sas/viya/home/SASFoundation/misc/embscoreeng/mas2py.py", line 942, in invoke
out = up[1].get(func)0(*args)
File "/tmp/tmprluhpq0f/model_exec_932ed736-60cf-4a85-8edf-4097d9741c44.py", line 55, in score
EM_PREDICTION = prediction[0][0] TypeError: 'float' object is not subscribable
Describe the issue We are trying to register the model with pzmm sasctl (1.10.1) and MAS in Viya 3.5. When we try to score, it fails with the error: "EM_PREDICTION = prediction[0][0] TypeError: 'float' object is not subscribable" Error: pm.execute failed. resultCode= -1958744061 So far, we found out that if the input data shape =1, then the result must be a scalar value prediction[0][0]. Our model returns an array of floats and fails because of this. Is it possible to have a model input as a row but the output as a table?
To Reproduce Attaching notebook and SAS MM log file from GUI score button. MAS_PYMAS_ERROR_FLOAT.txt register_model.txt
Expected behavior When I use a single row to score as a dictionary using the below code it should return a predicted value:- from sasctl.services import microanalytic_score as mas score_obj = dict(data_to_score.iloc[0,:][slump_col]) mas_obj = mas.execute_module_step("slump0min", "score", **score_obj) for key, value in mas_obj.items(): print(f"{key}: {value}")
resultCode: -1958743884.0 EM_PREDICTION: None
When I use the score GUI from SAS MM using a data table stored in PUBLIC lib with more than one row, it should give me the scored regression output from catboost model
Stack Trace ERROR: Line 301: Traceback (most recent call last): File "/opt/sas/viya/home/SASFoundation/misc/embscoreeng/mas2py.py", line 942, in invoke out = up[1].get(func)0(*args) File "/tmp/tmprluhpq0f/model_exec_932ed736-60cf-4a85-8edf-4097d9741c44.py", line 55, in score EM_PREDICTION = prediction[0][0] TypeError: 'float' object is not subscribable
Version sasctl (1.10.1)