关于“Structured data prediction using Vertex AI Platform”的评价
9473 条评价
Franco C. · 已于 over 1 year前审核
Dong A. · 已于 over 1 year前审核
Oskar H. · 已于 over 1 year前审核
Jamie T. · 已于 over 1 year前审核
BALADEV DEBASIS J. · 已于 over 1 year前审核
.
Priyangaa A. · 已于 over 1 year前审核
Tomiwa O. · 已于 over 1 year前审核
Kunal A. · 已于 over 1 year前审核
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. · 已于 over 1 year前审核
Avigail C. · 已于 over 1 year前审核
Giacomo L. · 已于 over 1 year前审核
Laode Muh Asdiq H. · 已于 over 1 year前审核
Ravi R. · 已于 over 1 year前审核
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. · 已于 over 1 year前审核
Good
Kanchan M. · 已于 over 1 year前审核
Philippe L. · 已于 over 1 year前审核
Ghufran B. · 已于 over 1 year前审核
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. · 已于 over 1 year前审核
Pranjal P. · 已于 over 1 year前审核
Mickael W. · 已于 over 1 year前审核
Rafay F. · 已于 over 1 year前审核
Juan Carlos B. · 已于 over 1 year前审核
Saw T. · 已于 over 1 year前审核
Priya G. · 已于 over 1 year前审核
Benjamin T. · 已于 over 1 year前审核
我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。