Miguel Arabi

Results 3 comments of Miguel Arabi

@AdamBarnhard Yes, container was built prior to deploy command. Just ran it again with -i plus image url and got the same result. Also, python API was fails as well...

@AdamBarnhard I cannot figure out what I'm missing. when I run local: `mlflow sagemaker run-local -m $MODEL_PATH -p $LOCAL_PORT` it fails in the following step: `docker run -v /Users/sigmarabi1/Environments/mlflowEnv/mlruns/0/795d02ab77c541c7b636900630a3839e/artifacts/keras_model_st_churn:/opt/ml/model/ -p...

@AdamBarnhard The model was logged with the R API as follows: with (mlflow_start_run(), { model_keras % layer_dense( units = 16, kernel_initializer = "uniform", activation = "relu", input_shape = ncol(x_train_tbl)) %>%...