关于“Structured data prediction using Vertex AI Platform”的评价
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Franco C. · 评论over 1 year之前
Dong A. · 评论over 1 year之前
Oskar H. · 评论over 1 year之前
Jamie T. · 评论over 1 year之前
BALADEV DEBASIS J. · 评论over 1 year之前
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Priyangaa A. · 评论over 1 year之前
Tomiwa O. · 评论over 1 year之前
Kunal A. · 评论over 1 year之前
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. · 评论over 1 year之前
Avigail C. · 评论over 1 year之前
Giacomo L. · 评论over 1 year之前
Laode Muh Asdiq H. · 评论over 1 year之前
Ravi R. · 评论over 1 year之前
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. · 评论over 1 year之前
Good
Kanchan M. · 评论over 1 year之前
Philippe L. · 评论over 1 year之前
Ghufran B. · 评论over 1 year之前
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. · 评论over 1 year之前
Pranjal P. · 评论over 1 year之前
Mickael W. · 评论over 1 year之前
Rafay F. · 评论over 1 year之前
Juan Carlos B. · 评论over 1 year之前
Saw T. · 评论over 1 year之前
Priya G. · 评论over 1 year之前
Benjamin T. · 评论over 1 year之前
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