Entraîner un modèle à grande échelle avec le service Vertex AI Training avis

BucketNotFoundException: 404 gs://qwiklabs-gcp-00-d4c1bc16f963 bucket does not exist. --------------------------------------------------------------------------- CalledProcessError Traceback (most recent call last) Cell In[24], line 1 ----> 1 get_ipython().run_cell_magic('bash', '', '# TODO 1 and TODO 2\n\necho "Deleting current contents of $OUTDIR"\ngsutil -m -q rm -rf $OUTDIR\n\necho "Extracting training data to $OUTDIR"\nbq --location=US extract \\\n --destination_format CSV \\\n --field_delimiter "," --noprint_header \\\n taxifare.feateng_training_data \\\n $OUTDIR/taxi-train-*.csv\n\necho "Extracting validation data to $OUTDIR"\nbq --location=US extract \\\n --destination_format CSV \\\n --field_delimiter "," --noprint_header \\\n taxifare.feateng_valid_data \\\n $OUTDIR/taxi-valid-*.csv\n\ngsutil ls -l $OUTDIR\n') File /opt/conda/lib/python3.10/site-packages/IPython/core/interactiveshell.py:2515, in InteractiveShell.run_cell_magic(self, magic_name, line, cell) 2513 with self.builtin_trap: 2514 args = (magic_arg_s, cell) -> 2515 result = fn(*args, **kwargs) 2517 # The code below prevents the output from being displayed 2518 # when using magics with decorator @output_can_be_silenced 2519 # when the last Python token in the expression is a ';'. 2520 if getattr(fn, magic.MAGIC_OUTPUT_CAN_BE_SILENCED, False): File /opt/conda/lib/python3.10/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/python3.10/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'# TODO 1 and TODO 2\n\necho "Deleting current contents of $OUTDIR"\ngsutil -m -q rm -rf $OUTDIR\n\necho "Extracting training data to $OUTDIR"\nbq --location=US extract \\\n --destination_format CSV \\\n --field_delimiter "," --noprint_header \\\n taxifare.feateng_training_data \\\n $OUTDIR/taxi-train-*.csv\n\necho "Extracting validation data to $OUTDIR"\nbq --location=US extract \\\n --destination_format CSV \\\n --field_delimiter "," --noprint_header \\\n taxifare.feateng_valid_data \\\n $OUTDIR/taxi-valid-*.csv\n\ngsutil ls -l $OUTDIR\n'' returned non-zero exit status 1.

Leonardo L. · Examiné il y a plus de 2 ans

Anwesha R. · Examiné il y a plus de 2 ans

Gowthaman K. · Examiné il y a plus de 2 ans

Craig P. · Examiné il y a plus de 2 ans

Danzler A. · Examiné il y a plus de 2 ans

This is an excellent lab, the best one in the entire course. It would be great if other labs were of this quality. In the other labs of the course, the main thing that was missing for me is the clear and intuitive explanation of doing feature encoding and feature engineering in TF. The flow in those labs is very abstract and unintuitive, and quite confusing. A clear explanation of how numeric and categorical columns get converted into dense vectors (embeddings) would be super useful, especially if you focus on a simple example from scratch (let's say 5 features and 1 label) and look under the hood throughout the process and just make it more clear. Also, using pre-processing layers was quite unclear as well. Overall, I am very excited about these labs and ML courses on our GCP in general, definitely looking forward to more content in the future!

Denis C. · Examiné il y a plus de 2 ans

Togzhan B. · Examiné il y a plus de 2 ans

Eric P. · Examiné il y a plus de 2 ans

Yasser A. · Examiné il y a plus de 2 ans

Tongqing Q. · Examiné il y a plus de 2 ans

Will B. · Examiné il y a plus de 2 ans

Jefferson P. B. · Examiné il y a plus de 2 ans

Marián Ž. · Examiné il y a plus de 2 ans

Мадина А. · Examiné il y a plus de 2 ans

Ravi P. · Examiné il y a plus de 2 ans

Feilin L. · Examiné il y a plus de 2 ans

nhan h. · Examiné il y a plus de 2 ans

Nikita R. · Examiné il y a plus de 2 ans

Jose A. · Examiné il y a plus de 2 ans

Samuel N. · Examiné il y a plus de 2 ans

SNEHANSU G. · Examiné il y a plus de 2 ans

Wonderful and heplful

dorjzodovsuren b. · Examiné il y a plus de 2 ans

Shormakova A. · Examiné il y a plus de 2 ans

Courtney D. · Examiné il y a plus de 2 ans

Rakesh P. · Examiné il y a plus de 2 ans