Fazer a previsão de dados estruturados usando a plataforma Vertex AI avaliações

Lina M. · Revisado há over 1 year

Joe B. · Revisado há over 1 year

Franco C. · Revisado há over 1 year

Dong A. · Revisado há over 1 year

Oskar H. · Revisado há over 1 year

Jamie T. · Revisado há over 1 year

BALADEV DEBASIS J. · Revisado há over 1 year

.

Priyangaa A. · Revisado há over 1 year

Tomiwa O. · Revisado há over 1 year

Kunal A. · Revisado há over 1 year

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. · Revisado há over 1 year

Avigail C. · Revisado há over 1 year

Giacomo L. · Revisado há over 1 year

Laode Muh Asdiq H. · Revisado há over 1 year

Ravi R. · Revisado há over 1 year

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. · Revisado há over 1 year

Good

Kanchan M. · Revisado há over 1 year

Philippe L. · Revisado há over 1 year

Ghufran B. · Revisado há over 1 year

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. · Revisado há over 1 year

Pranjal P. · Revisado há over 1 year

Mickael W. · Revisado há over 1 year

Rafay F. · Revisado há over 1 year

Juan Carlos B. · Revisado há over 1 year

Saw T. · Revisado há over 1 year