Structured data prediction using Vertex AI Platform Reviews

Lina M. · Reviewed over 1 year ago

Joe B. · Reviewed over 1 year ago

Franco C. · Reviewed over 1 year ago

Dong A. · Reviewed over 1 year ago

Oskar H. · Reviewed over 1 year ago

Jamie T. · Reviewed over 1 year ago

BALADEV DEBASIS J. · Reviewed over 1 year ago

.

Priyangaa A. · Reviewed over 1 year ago

Tomiwa O. · Reviewed over 1 year ago

Kunal A. · Reviewed over 1 year 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 over 1 year ago

Avigail C. · Reviewed over 1 year ago

Giacomo L. · Reviewed over 1 year ago

Laode Muh Asdiq H. · Reviewed over 1 year ago

Ravi R. · Reviewed over 1 year 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 over 1 year ago

Good

Kanchan M. · Reviewed over 1 year ago

Philippe L. · Reviewed over 1 year ago

Ghufran B. · Reviewed over 1 year 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 over 1 year ago

Pranjal P. · Reviewed over 1 year ago

Mickael W. · Reviewed over 1 year ago

Rafay F. · Reviewed over 1 year ago

Juan Carlos B. · Reviewed over 1 year ago

Saw T. · Reviewed over 1 year ago