Opinie (Structured data prediction using Vertex AI Platform)

Franco C. · Sprawdzono ponad rok temu

Dong A. · Sprawdzono ponad rok temu

Oskar H. · Sprawdzono ponad rok temu

Jamie T. · Sprawdzono ponad rok temu

BALADEV DEBASIS J. · Sprawdzono ponad rok temu

.

Priyangaa A. · Sprawdzono ponad rok temu

Tomiwa O. · Sprawdzono ponad rok temu

Kunal A. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

Avigail C. · Sprawdzono ponad rok temu

Giacomo L. · Sprawdzono ponad rok temu

Laode Muh Asdiq H. · Sprawdzono ponad rok temu

Ravi R. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

Good

Kanchan M. · Sprawdzono ponad rok temu

Philippe L. · Sprawdzono ponad rok temu

Ghufran B. · Sprawdzono ponad rok temu

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. · Sprawdzono ponad rok temu

Pranjal P. · Sprawdzono ponad rok temu

Mickael W. · Sprawdzono ponad rok temu

Rafay F. · Sprawdzono ponad rok temu

Juan Carlos B. · Sprawdzono ponad rok temu

Saw T. · Sprawdzono ponad rok temu

Priya G. · Sprawdzono ponad rok temu

Benjamin T. · Sprawdzono ponad rok temu