Como classificar dados estruturados usando camadas de pré-processamento do Keras avaliações

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MMD Aziz M. · Revisado há about 1 year

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Aishwarya K. · Revisado há about 1 year

this was unnecessarily complicated: ```import pathlib dataset_url = 'http://storage.googleapis.com/download.tensorflow.org/data/petfinder-mini.zip' csv_file = 'gs://cloud-training/mlongcp/v3.0_MLonGC/toy_data/petfinder-mini_toy.csv' tf.keras.utils.get_file('petfinder_mini.zip', dataset_url, extract=True, cache_dir='.') # TODO # read a comma-separated values (csv) file into DataFrame dataframe = pd.read_csv(csv_file)``` it could have been ```# Directly read the CSV file from the Google Cloud Storage bucket csv_file = 'gs://cloud-training/mlongcp/v3.0_MLonGC/toy_data/petfinder-mini_toy.csv' # Load the dataset into a pandas DataFrame dataframe = pd.read_csv(csv_file)``` otherwise explain why. Also, the lambda function as it is has been deprecated: ```WARNING:tensorflow:From /opt/conda/lib/python3.10/site-packages/tensorflow/python/autograph/pyct/static_analysis/liveness.py:83: Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23.``` Finally, no much working... most of it was running cells.

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Errors with graphviz library after compiling model

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