File size: 1,243 Bytes
d473052 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | artifact_path: outputs/mlflow-model
flavors:
python_function:
env:
conda: conda.yaml
virtualenv: python_env.yaml
loader_module: mlflow.sklearn
model_path: model.pkl
predict_fn: predict
python_version: 3.9.19
sklearn:
code: null
pickled_model: model.pkl
serialization_format: pickle
sklearn_version: 1.5.1
metadata:
azureml.base_image: mcr.microsoft.com/azureml/curated/azureml-automl:178
azureml.engine: automl
mlflow_version: 2.9.2
model_size_bytes: 268686
model_uuid: fb445309edf24c35ad87ccdfee08869c
run_id: affable_cart_7pyzpmymh2_2
signature:
inputs: '[{"type": "integer", "name": "day"}, {"type": "integer", "name": "mnth"},
{"type": "integer", "name": "year"}, {"type": "integer", "name": "season"}, {"type":
"boolean", "name": "holiday"}, {"type": "integer", "name": "weekday"}, {"type":
"boolean", "name": "workingday"}, {"type": "integer", "name": "weathersit"}, {"type":
"float", "name": "temp"}, {"type": "float", "name": "atemp"}, {"type": "float",
"name": "hum"}, {"type": "float", "name": "windspeed"}]'
outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "int64", "shape": [-1]}}]'
params: null
utc_time_created: '2024-08-25 20:08:18.409061'
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