Prédiction sur des données structurées à l'aide de Vertex AI Platform avis

Derril F. · Examiné il y a environ un an

Prasanna S. · Examiné il y a environ un an

Lina M. · Examiné il y a environ un an

Joe B. · Examiné il y a environ un an

Franco C. · Examiné il y a environ un an

Dong A. · Examiné il y a environ un an

Oskar H. · Examiné il y a environ un an

Jamie T. · Examiné il y a environ un an

BALADEV DEBASIS J. · Examiné il y a environ un an

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Priyangaa A. · Examiné il y a environ un an

Tomiwa O. · Examiné il y a environ un an

Kunal A. · Examiné il y a environ un an

Toward the end observed error, "--------------------------------------------------------------------------- CalledProcessError Traceback (most recent call last) Cell In[18], line 1 ----> 1 get_ipython().run_cell_magic('bash', '', 'gsutil ls gs://${BUCKET}/babyweight/trained_model\n') File /opt/conda/lib/python3.9/site-packages/IPython/core/interactiveshell.py:2517, in InteractiveShell.run_cell_magic(self, magic_name, line, cell) 2515 with self.builtin_trap: 2516 args = (magic_arg_s, cell) -> 2517 result = fn(*args, **kwargs) 2519 # The code below prevents the output from being displayed 2520 # when using magics with decorator @output_can_be_silenced 2521 # when the last Python token in the expression is a ';'. 2522 if getattr(fn, magic.MAGIC_OUTPUT_CAN_BE_SILENCED, False): File /opt/conda/lib/python3.9/site-packages/IPython/core/magics/script.py:154, in ScriptMagics._make_script_magic.<locals>.named_script_magic(line, cell) 152 else: 153 line = script --> 154 return self.shebang(line, cell) File /opt/conda/lib/python3.9/site-packages/IPython/core/magics/script.py:314, in ScriptMagics.shebang(self, line, cell) 309 if args.raise_error and p.returncode != 0: 310 # If we get here and p.returncode is still None, we must have 311 # killed it but not yet seen its return code. We don't wait for it, 312 # in case it's stuck in uninterruptible sleep. -9 = SIGKILL 313 rc = p.returncode or -9 --> 314 raise CalledProcessError(rc, cell) CalledProcessError: Command 'b'gsutil ls gs://${BUCKET}/babyweight/trained_model\n'' returned non-zero exit status 1."

Dominic M. · Examiné il y a environ un an

Avigail C. · Examiné il y a environ un an

Giacomo L. · Examiné il y a environ un an

Laode Muh Asdiq H. · Examiné il y a environ un an

Ravi R. · Examiné il y a environ un an

1. no check point to verify that students really did the lab. 2. the title is Vertex AI but it's actually AI Platform, older generation of Vertex AI. 3. model training took too long. Should have set the epoch or other parameters to lower number. 4. didn't explain how to test the deployed models and other things, the notebook is very crude.

Gan i. · Examiné il y a environ un an

Good

Kanchan M. · Examiné il y a environ un an

Philippe L. · Examiné il y a environ un an

Ghufran B. · Examiné il y a environ un an

I got this error Command 'b'MODEL_NAME="babyweight"\nMODEL_VERSION="ml_on_gcp"\nMODEL_LOCATION=$(gsutil ls -ld -- gs://${BUCKET}/babyweight/trained_model/2* \\\n | tail -1 | tr -d \'[:space:]\')\necho "Deleting and deploying $MODEL_NAME $MODEL_VERSION from $MODEL_LOCATION"\n# gcloud ai-platform versions delete ${MODEL_VERSION} --model ${MODEL_NAME}\n# gcloud ai-platform models delete ${MODEL_NAME}\ngcloud ai-platform models create ${MODEL_NAME} --regions ${REGION}\ngcloud ai-platform versions create ${MODEL_VERSION} \\\n --model=${MODEL_NAME} \\\n --origin=${MODEL_LOCATION} \\\n --runtime-version=2.6 \\\n --python-version=3.7\n'' returned non-zero exit status 1.

Nicolás E. · Examiné il y a environ un an

Pranjal P. · Examiné il y a environ un an

Mickael W. · Examiné il y a environ un an

Rafay F. · Examiné il y a environ un an