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For example: H2O.ai has documentation.
Here's what I have tried so far. I copied the requirements from this repo's environment.yml file. The cluster initialization step fails though.
environment.yml
gcloud dataproc clusters create spark-cluster \ --initialization-actions \ gs://dataproc-initialization-actions/python/conda-install.sh,gs://dataproc-initialization-actions/python/pip-install.sh \ --metadata 'CONDA_PACKAGES=six=1.11.0 h5py=2.8.0 pillow=4.1.1 nomkl cloudpickle=0.8.0 tensorflow=1.13.1 keras=2.2.4 paramiko=2.4.2 wrapt=1.10.11' \ --metadata 'PIP_PACKAGES=horovod==0.16.4' --num-masters=1 \ --num-workers=2 \ --num-preemptible-workers=2 \ --optional-components=ANACONDA \ --properties='spark:spark.jars.packages=databricks:spark-deep-learning:1.5.0-spark2.4-s_2.11' \ --region=us-west1
The text was updated successfully, but these errors were encountered:
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For example: H2O.ai has documentation.
Here's what I have tried so far. I copied the requirements from this repo's
environment.yml
file. The cluster initialization step fails though.The text was updated successfully, but these errors were encountered: