Structured data prediction using Vertex AI Platform Reviews

Franco C. · Reviewed أكثر من سنة ago

Dong A. · Reviewed أكثر من سنة ago

Oskar H. · Reviewed أكثر من سنة ago

Jamie T. · Reviewed أكثر من سنة ago

BALADEV DEBASIS J. · Reviewed أكثر من سنة ago

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Priyangaa A. · Reviewed أكثر من سنة ago

Tomiwa O. · Reviewed أكثر من سنة ago

Kunal A. · Reviewed أكثر من سنة ago

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. · Reviewed أكثر من سنة ago

Avigail C. · Reviewed أكثر من سنة ago

Giacomo L. · Reviewed أكثر من سنة ago

Laode Muh Asdiq H. · Reviewed أكثر من سنة ago

Ravi R. · Reviewed أكثر من سنة ago

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. · Reviewed أكثر من سنة ago

Good

Kanchan M. · Reviewed أكثر من سنة ago

Philippe L. · Reviewed أكثر من سنة ago

Ghufran B. · Reviewed أكثر من سنة ago

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. · Reviewed أكثر من سنة ago

Pranjal P. · Reviewed أكثر من سنة ago

Mickael W. · Reviewed أكثر من سنة ago

Rafay F. · Reviewed أكثر من سنة ago

Juan Carlos B. · Reviewed أكثر من سنة ago

Saw T. · Reviewed أكثر من سنة ago

Priya G. · Reviewed أكثر من سنة ago

Benjamin T. · Reviewed أكثر من سنة ago