Structured data prediction using Vertex AI Platform Ulasan

Joe B. · Diulas sekitar 1 tahun lalu

Franco C. · Diulas sekitar 1 tahun lalu

Dong A. · Diulas sekitar 1 tahun lalu

Oskar H. · Diulas sekitar 1 tahun lalu

Jamie T. · Diulas sekitar 1 tahun lalu

BALADEV DEBASIS J. · Diulas sekitar 1 tahun lalu

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Priyangaa A. · Diulas sekitar 1 tahun lalu

Tomiwa O. · Diulas sekitar 1 tahun lalu

Kunal A. · Diulas sekitar 1 tahun lalu

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. · Diulas sekitar 1 tahun lalu

Avigail C. · Diulas sekitar 1 tahun lalu

Giacomo L. · Diulas sekitar 1 tahun lalu

Laode Muh Asdiq H. · Diulas sekitar 1 tahun lalu

Ravi R. · Diulas sekitar 1 tahun lalu

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. · Diulas sekitar 1 tahun lalu

Good

Kanchan M. · Diulas sekitar 1 tahun lalu

Philippe L. · Diulas sekitar 1 tahun lalu

Ghufran B. · Diulas sekitar 1 tahun lalu

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. · Diulas sekitar 1 tahun lalu

Pranjal P. · Diulas sekitar 1 tahun lalu

Mickael W. · Diulas sekitar 1 tahun lalu

Rafay F. · Diulas sekitar 1 tahun lalu

Juan Carlos B. · Diulas sekitar 1 tahun lalu

Saw T. · Diulas sekitar 1 tahun lalu

Priya G. · Diulas sekitar 1 tahun lalu