Vertex AI Platform での構造化データを使用した予測 のレビュー

Cometto Franco · 1年以上前にレビュー済み

An Dong · 1年以上前にレビュー済み

Hindgren Oskar · 1年以上前にレビュー済み

Thompson Jamie · 1年以上前にレビュー済み

JENA BALADEV DEBASIS · 1年以上前にレビュー済み

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Annathurai Priyangaa · 1年以上前にレビュー済み

Ojo Tomiwa · 1年以上前にレビュー済み

Arya Kunal · 1年以上前にレビュー済み

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."

Meroux Dominic · 1年以上前にレビュー済み

Chan Avigail · 1年以上前にレビュー済み

Labbri Giacomo · 1年以上前にレビュー済み

Hamsin Ramadhan Laode Muh Asdiq · 1年以上前にレビュー済み

Ranjan Ravi · 1年以上前にレビュー済み

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.

is Gan · 1年以上前にレビュー済み

Good

Mangrule Kanchan · 1年以上前にレビュー済み

LIU Philippe · 1年以上前にレビュー済み

Barcha Ghufran · 1年以上前にレビュー済み

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.

Eugenio Nicolás · 1年以上前にレビュー済み

Porwal Pranjal · 1年以上前にレビュー済み

Wajnberg Mickael · 1年以上前にレビュー済み

Farhan Rafay · 1年以上前にレビュー済み

Betancourt Juan Carlos · 1年以上前にレビュー済み

Thiha Saw · 1年以上前にレビュー済み

Garg Priya · 1年以上前にレビュー済み

Toh Benjamin · 1年以上前にレビュー済み