EM_PREDICTION = prediction[0][0] TypeError: 'float' object is not subscribable

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評估

難度
4/5
預估耗時
3-5 天
新手友好度
30/100
Issue 類型
缺陷
描述清晰度
需要釐清
活躍度
停滯
技術堆疊
python
領域
api, backend

研究方向

先從附帶的 MAS_PYMAS_ERROR_FLOAT.txt 和 register_model.txt 日誌開始,然後追蹤 mas.execute_module_step("slump0min", "score", ...) 進入點,以及堆疊追蹤中顯示的產生 score 函式。確定純量或陣列的預期輸出契約;單列和多列評分都能在沒有 TypeError 的情況下傳回預測值,即表示完成。

由索引模型根據 Issue 內容生成。

描述

bug

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)
Output of Link folder

Output of import_model locally
主要語言
Python
星號
52
分支
45
PR 合併指標
30 天內沒有已合併 PR

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