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Release c3235d7 (#1331)
* Updated component images to version c3235d7 * Updated components to version 3b938d6
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components/dataflow/predict/component.yaml

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- {name: Predictions dir, type: GCSPath, description: 'GCS or local directory.'} #Will contain prediction_results-* and schema.json files; TODO: Split outputs and replace dir with single file # type: {GCSPath: {path_type: Directory}}
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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command: [python2, /ml/predict.py]
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args: [
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--data, {inputValue: Data file pattern},

components/dataflow/tfdv/component.yaml

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- {name: Validation result, type: String, description: Indicates whether anomalies were detected or not.}
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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command: [python2, /ml/validate.py]
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args: [
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--csv-data-for-inference, {inputValue: Inference data},

components/dataflow/tfma/component.yaml

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- {name: Analysis results dir, type: GCSPath, description: GCS or local directory where the analysis results should were written.} # type: {GCSPath: {path_type: Directory}}
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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command: [python2, /ml/model_analysis.py]
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args: [
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--model, {inputValue: Model},

components/dataflow/tft/component.yaml

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- {name: Transformed data dir, type: GCSPath} # type: {GCSPath: {path_type: Directory}}
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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command: [python2, /ml/transform.py]
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args: [
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--train, {inputValue: Training data file pattern},

components/gcp/bigquery/query/README.md

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components/gcp/bigquery/query/component.yaml

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type: GCSPath
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.bigquery, query,
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--query, {inputValue: query},

components/gcp/bigquery/query/sample.ipynb

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@@ -108,7 +108,7 @@
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"import kfp.components as comp\n",
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"\n",
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"bigquery_query_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/bigquery/query/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/bigquery/query/component.yaml')\n",
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"help(bigquery_query_op)"
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]
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},

components/gcp/dataflow/launch_python/README.md

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components/gcp/dataflow/launch_python/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataflow, launch_python,
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--python_file_path, {inputValue: python_file_path},

components/gcp/dataflow/launch_python/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataflow_python_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataflow/launch_python/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataflow/launch_python/component.yaml')\n",
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"help(dataflow_python_op)"
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]
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},

components/gcp/dataflow/launch_template/README.md

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components/gcp/dataflow/launch_template/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataflow, launch_template,
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--project_id, {inputValue: project_id},

components/gcp/dataflow/launch_template/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataflow_template_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataflow/launch_template/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataflow/launch_template/component.yaml')\n",
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"help(dataflow_template_op)"
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]
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},

components/gcp/dataproc/create_cluster/README.md

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components/gcp/dataproc/create_cluster/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataproc, create_cluster,
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--project_id, {inputValue: project_id},

components/gcp/dataproc/create_cluster/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataproc_create_cluster_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataproc/create_cluster/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataproc/create_cluster/component.yaml')\n",
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"help(dataproc_create_cluster_op)"
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]
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},

components/gcp/dataproc/delete_cluster/README.md

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components/gcp/dataproc/delete_cluster/component.yaml

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type: Integer
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataproc, delete_cluster,
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--project_id, {inputValue: project_id},

components/gcp/dataproc/delete_cluster/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataproc_delete_cluster_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataproc/delete_cluster/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataproc/delete_cluster/component.yaml')\n",
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"help(dataproc_delete_cluster_op)"
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]
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},

components/gcp/dataproc/submit_hadoop_job/README.md

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components/gcp/dataproc/submit_hadoop_job/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataproc, submit_hadoop_job,
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--project_id, {inputValue: project_id},

components/gcp/dataproc/submit_hadoop_job/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataproc_submit_hadoop_job_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
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"help(dataproc_submit_hadoop_job_op)"
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]
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},

components/gcp/dataproc/submit_hive_job/README.md

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components/gcp/dataproc/submit_hive_job/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataproc, submit_hive_job,
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--project_id, {inputValue: project_id},

components/gcp/dataproc/submit_hive_job/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataproc_submit_hive_job_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
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"help(dataproc_submit_hive_job_op)"
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]
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},

components/gcp/dataproc/submit_pig_job/README.md

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components/gcp/dataproc/submit_pig_job/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataproc, submit_pig_job,
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--project_id, {inputValue: project_id},

components/gcp/dataproc/submit_pig_job/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataproc_submit_pig_job_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
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"help(dataproc_submit_pig_job_op)"
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]
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},

components/gcp/dataproc/submit_pyspark_job/README.md

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components/gcp/dataproc/submit_pyspark_job/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataproc, submit_pyspark_job,
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--project_id, {inputValue: project_id},

components/gcp/dataproc/submit_pyspark_job/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataproc_submit_pyspark_job_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
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"help(dataproc_submit_pyspark_job_op)"
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]
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},

components/gcp/dataproc/submit_spark_job/README.md

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components/gcp/dataproc/submit_spark_job/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataproc, submit_spark_job,
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--project_id, {inputValue: project_id},

components/gcp/dataproc/submit_spark_job/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataproc_submit_spark_job_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
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"help(dataproc_submit_spark_job_op)"
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]
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},

components/gcp/dataproc/submit_sparksql_job/README.md

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components/gcp/dataproc/submit_sparksql_job/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.dataproc, submit_sparksql_job,
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--project_id, {inputValue: project_id},

components/gcp/dataproc/submit_sparksql_job/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"dataproc_submit_sparksql_job_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
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"help(dataproc_submit_sparksql_job_op)"
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]
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},

components/gcp/ml_engine/batch_predict/README.md

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components/gcp/ml_engine/batch_predict/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.ml_engine, batch_predict,
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--project_id, {inputValue: project_id},

components/gcp/ml_engine/batch_predict/sample.ipynb

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"import kfp.components as comp\n",
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"\n",
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"mlengine_batch_predict_op = comp.load_component_from_url(\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/eb830cd73ca148e5a1a6485a9374c2dc068314bc/components/gcp/ml_engine/batch_predict/component.yaml')\n",
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" 'https://raw.githubusercontent.com/kubeflow/pipelines/3b938d664de35db9401c6d198439394a9fca95fa/components/gcp/ml_engine/batch_predict/component.yaml')\n",
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"help(mlengine_batch_predict_op)"
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]
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},

components/gcp/ml_engine/deploy/README.md

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components/gcp/ml_engine/deploy/component.yaml

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type: String
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implementation:
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container:
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:727c48c690c081b505c1f0979d11930bf1ef07c0
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image: gcr.io/ml-pipeline/ml-pipeline-gcp:c3235d725eb1d1eb06b5600a8291967aa6cf518f
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args: [
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kfp_component.google.ml_engine, deploy,
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--model_uri, {inputValue: model_uri},

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