Structured data prediction using Vertex AI Platform Reviews
8505 reviews
Time limit was a bit short to train and deploy the model
Metin A. · Reviewed about 1 year ago
Amritha C. · Reviewed about 1 year ago
Istiak K. · Reviewed about 1 year ago
Derril F. · Reviewed about 1 year ago
Prasanna S. · Reviewed about 1 year ago
Lina M. · Reviewed about 1 year ago
Joe B. · Reviewed about 1 year ago
Franco C. · Reviewed about 1 year ago
Dong A. · Reviewed about 1 year ago
Oskar H. · Reviewed about 1 year ago
Jamie T. · Reviewed about 1 year ago
BALADEV DEBASIS J. · Reviewed about 1 year ago
.
Priyangaa A. · Reviewed about 1 year ago
Tomiwa O. · Reviewed about 1 year ago
Kunal A. · Reviewed about 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 about 1 year ago
Avigail C. · Reviewed about 1 year ago
Giacomo L. · Reviewed about 1 year ago
Laode Muh Asdiq H. · Reviewed about 1 year ago
Ravi R. · Reviewed about 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 about 1 year ago
Good
Kanchan M. · Reviewed about 1 year ago
Philippe L. · Reviewed about 1 year ago
Ghufran B. · Reviewed about 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 about 1 year ago
We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.