gitea_admin/sientia-dataops-laborious_temporal
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

SIENTIAPDE-1081

Browse Source 
Enhance documentation across multiple modules with detailed parameter descriptions and usage examples
This commit is contained in:
vitor-aignosi
2025-05-26 16:45:50 -03:00
parent 5326051714
commit 10081b71d2
12 changed files with 294 additions and 92 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
laborious/activities/mlflow.py
View File

@@ -29,10 +29,10 @@ class MLFlow(BaseActivity):
"""
Access MLFlow model to get the transformed data.
Args:
input_data (dict): The input data. Contains:
data (dict[str, Any]): The data to transform.
model_name (str): The name of the model.
model_retention (int): The retention of the model in minutes.
- input_data (dict): The input data. Contains:
- data (dict[str, Any]): The data to transform.
- model_name (str): The name of the model.
- model_retention (int): The retention time of the model, in minutes.
Returns:
dict[str, Any]: The transformed data.
"""
@@ -67,10 +67,10 @@ class MLFlow(BaseActivity):
"""
Access MLFlow model to get the predicted data.
Args:
input_data (dict): The input data. Contains:
data (dict[str, Any]): The data to predict.
model_name (str): The name of the model.
model_retention (int): The retention of the model.
- input_data (dict): The input data. Contains:
- data (dict[str, Any]): The data to predict.
- model_name (str): The name of the model.
- model_retention (int): The retention time of the model, in minutes.
Returns:
dict[str, Any]: The predicted data.
"""