mlflow-examples
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amesar
Basic MLflow examples
Serverless Model Endpoints aka Model Serving v2.
I saw your example use docker to serving the tf kears model, may I ask do you know how to serve it at local? Cause I feel TensorFlow different from...
docker example doesn't work, there is an error in mlflow_server logs: `(MySQLdb.OperationalError) (1049, "Unknown database 'mlflow'")` Environment variable $MYSQL_DATABASE fixes it
def convert_to_onnx(model, data): initial_type = [('float_input', FloatTensorType([None, **data.shape[0]**]))] onnx_model = convert_sklearn(model, initial_types=initial_type) print("onnx_model.type:",type(onnx_model)) mlflow.set_tag("onnx_version",onnx.__version__) return onnx_model It should be data.shape[1]
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Some changes regarding to mlflow2.7.1, For example: convert_png_to_mlflow_json.py, mlflow2.7.1 needs a new format mlflow_v2_dict = {"dataframe_split":dct} https://mlflow.org/docs/latest/models.html#local-model-deployment
**Is your feature request related to a problem? Please describe.** A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] **Describe the solution you'd...
**Is your feature request related to a problem? Please describe.** A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] **Describe the solution you'd...
**Is your feature request related to a problem? Please describe.** A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] **Describe the solution you'd...