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Release v0.22 (#1525) 

* Updated component images to version d4960d3379

* Updated components to version d0aa15dfb3

* setup version inc
This commit is contained in:
Kevin Bache 2019-06-20 15:28:35 -07:00 committed by Kubernetes Prow Robot
parent bf6fee9bbb
commit 5a5e39dc51
59 changed files with 87 additions and 87 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
component_sdk/python/setup.py
View File

@ -15,7 +15,7 @@
from setuptools import setup
PACKAGE_NAME = "kfp-component"
VERSION = '0.1.20'
VERSION = '0.1.22'
setup(
name=PACKAGE_NAME,

2
components/dataflow/predict/component.yaml
View File

@ -15,7 +15,7 @@ outputs:
- {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}}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:d4960d3379af4735fd04dc7167fab5fff82d0f22
command: [python2, /ml/predict.py]
args: [
--data, {inputValue: Data file pattern},

2
components/dataflow/tfdv/component.yaml
View File

@ -18,7 +18,7 @@ outputs:
- {name: Validation result, type: String, description: Indicates whether anomalies were detected or not.}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:d4960d3379af4735fd04dc7167fab5fff82d0f22
command: [python2, /ml/validate.py]
args: [
--csv-data-for-inference, {inputValue: Inference data},

2
components/dataflow/tfma/component.yaml
View File

@ -17,7 +17,7 @@ outputs:
- {name: Analysis results dir, type: GCSPath, description: GCS or local directory where the analysis results should were written.} # type: {GCSPath: {path_type: Directory}}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:d4960d3379af4735fd04dc7167fab5fff82d0f22
command: [python2, /ml/model_analysis.py]
args: [
--model, {inputValue: Model},

2
components/dataflow/tft/component.yaml
View File

@ -12,7 +12,7 @@ outputs:
- {name: Transformed data dir, type: GCSPath} # type: {GCSPath: {path_type: Directory}}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:d4960d3379af4735fd04dc7167fab5fff82d0f22
command: [python2, /ml/transform.py]
args: [
--train, {inputValue: Training data file pattern},

2
components/gcp/bigquery/query/README.md
View File

@ -89,7 +89,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
bigquery_query_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/bigquery/query/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/bigquery/query/component.yaml')
help(bigquery_query_op)
```

2
components/gcp/bigquery/query/component.yaml
View File

@ -54,7 +54,7 @@ outputs:
type: GCSPath
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.bigquery, query,
--query, {inputValue: query},

2
components/gcp/bigquery/query/sample.ipynb
View File

@ -108,7 +108,7 @@
"import kfp.components as comp\n",
"\n",
"bigquery_query_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/bigquery/query/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/bigquery/query/component.yaml')\n",
"help(bigquery_query_op)"
]
},

2
components/gcp/dataflow/launch_python/README.md
View File

@ -77,7 +77,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataflow_python_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataflow/launch_python/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataflow/launch_python/component.yaml')
help(dataflow_python_op)
```

2
components/gcp/dataflow/launch_python/component.yaml
View File

@ -48,7 +48,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataflow, launch_python,
--python_file_path, {inputValue: python_file_path},

2
components/gcp/dataflow/launch_python/sample.ipynb
View File

@ -95,7 +95,7 @@
"import kfp.components as comp\n",
"\n",
"dataflow_python_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataflow/launch_python/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataflow/launch_python/component.yaml')\n",
"help(dataflow_python_op)"
]
},

2
components/gcp/dataflow/launch_template/README.md
View File

@ -67,7 +67,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataflow_template_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataflow/launch_template/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataflow/launch_template/component.yaml')
help(dataflow_template_op)
```

2
components/gcp/dataflow/launch_template/component.yaml
View File

@ -58,7 +58,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataflow, launch_template,
--project_id, {inputValue: project_id},

2
components/gcp/dataflow/launch_template/sample.ipynb
View File

@ -85,7 +85,7 @@
"import kfp.components as comp\n",
"\n",
"dataflow_template_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataflow/launch_template/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataflow/launch_template/component.yaml')\n",
"help(dataflow_template_op)"
]
},

2
components/gcp/dataproc/create_cluster/README.md
View File

@ -74,7 +74,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataproc_create_cluster_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/create_cluster/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/create_cluster/component.yaml')
help(dataproc_create_cluster_op)
```

2
components/gcp/dataproc/create_cluster/component.yaml
View File

@ -65,7 +65,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataproc, create_cluster,
--project_id, {inputValue: project_id},

2
components/gcp/dataproc/create_cluster/sample.ipynb
View File

@ -92,7 +92,7 @@
"import kfp.components as comp\n",
"\n",
"dataproc_create_cluster_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/create_cluster/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/create_cluster/component.yaml')\n",
"help(dataproc_create_cluster_op)"
]
},

2
components/gcp/dataproc/delete_cluster/README.md
View File

@ -54,7 +54,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataproc_delete_cluster_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/delete_cluster/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/delete_cluster/component.yaml')
help(dataproc_delete_cluster_op)
```

2
components/gcp/dataproc/delete_cluster/component.yaml
View File

@ -33,7 +33,7 @@ inputs:
type: Integer
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataproc, delete_cluster,
--project_id, {inputValue: project_id},

2
components/gcp/dataproc/delete_cluster/sample.ipynb
View File

@ -73,7 +73,7 @@
"import kfp.components as comp\n",
"\n",
"dataproc_delete_cluster_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/delete_cluster/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/delete_cluster/component.yaml')\n",
"help(dataproc_delete_cluster_op)"
]
},

2
components/gcp/dataproc/submit_hadoop_job/README.md
View File

@ -72,7 +72,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataproc_submit_hadoop_job_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_hadoop_job/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_hadoop_job/component.yaml')
help(dataproc_submit_hadoop_job_op)
```

2
components/gcp/dataproc/submit_hadoop_job/component.yaml
View File

@ -75,7 +75,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataproc, submit_hadoop_job,
--project_id, {inputValue: project_id},

2
components/gcp/dataproc/submit_hadoop_job/sample.ipynb
View File

@ -90,7 +90,7 @@
"import kfp.components as comp\n",
"\n",
"dataproc_submit_hadoop_job_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_hadoop_job/component.yaml')\n",
"help(dataproc_submit_hadoop_job_op)"
]
},

2
components/gcp/dataproc/submit_hive_job/README.md
View File

@ -63,7 +63,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataproc_submit_hive_job_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_hive_job/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_hive_job/component.yaml')
help(dataproc_submit_hive_job_op)
```

2
components/gcp/dataproc/submit_hive_job/component.yaml
View File

@ -70,7 +70,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataproc, submit_hive_job,
--project_id, {inputValue: project_id},

2
components/gcp/dataproc/submit_hive_job/sample.ipynb
View File

@ -81,7 +81,7 @@
"import kfp.components as comp\n",
"\n",
"dataproc_submit_hive_job_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_hive_job/component.yaml')\n",
"help(dataproc_submit_hive_job_op)"
]
},

2
components/gcp/dataproc/submit_pig_job/README.md
View File

@ -66,7 +66,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataproc_submit_pig_job_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_pig_job/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_pig_job/component.yaml')
help(dataproc_submit_pig_job_op)
```

2
components/gcp/dataproc/submit_pig_job/component.yaml
View File

@ -70,7 +70,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataproc, submit_pig_job,
--project_id, {inputValue: project_id},

2
components/gcp/dataproc/submit_pig_job/sample.ipynb
View File

@ -84,7 +84,7 @@
"import kfp.components as comp\n",
"\n",
"dataproc_submit_pig_job_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_pig_job/component.yaml')\n",
"help(dataproc_submit_pig_job_op)"
]
},

2
components/gcp/dataproc/submit_pyspark_job/README.md
View File

@ -67,7 +67,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataproc_submit_pyspark_job_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_pyspark_job/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_pyspark_job/component.yaml')
help(dataproc_submit_pyspark_job_op)
```

2
components/gcp/dataproc/submit_pyspark_job/component.yaml
View File

@ -64,7 +64,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataproc, submit_pyspark_job,
--project_id, {inputValue: project_id},

2
components/gcp/dataproc/submit_pyspark_job/sample.ipynb
View File

@ -86,7 +86,7 @@
"import kfp.components as comp\n",
"\n",
"dataproc_submit_pyspark_job_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_pyspark_job/component.yaml')\n",
"help(dataproc_submit_pyspark_job_op)"
]
},

2
components/gcp/dataproc/submit_spark_job/README.md
View File

@ -80,7 +80,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataproc_submit_spark_job_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_spark_job/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_spark_job/component.yaml')
help(dataproc_submit_spark_job_op)
```

2
components/gcp/dataproc/submit_spark_job/component.yaml
View File

@ -71,7 +71,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataproc, submit_spark_job,
--project_id, {inputValue: project_id},

2
components/gcp/dataproc/submit_spark_job/sample.ipynb
View File

@ -99,7 +99,7 @@
"import kfp.components as comp\n",
"\n",
"dataproc_submit_spark_job_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_spark_job/component.yaml')\n",
"help(dataproc_submit_spark_job_op)"
]
},

2
components/gcp/dataproc/submit_sparksql_job/README.md
View File

@ -62,7 +62,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
dataproc_submit_sparksql_job_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_sparksql_job/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_sparksql_job/component.yaml')
help(dataproc_submit_sparksql_job_op)
```

2
components/gcp/dataproc/submit_sparksql_job/component.yaml
View File

@ -70,7 +70,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.dataproc, submit_sparksql_job,
--project_id, {inputValue: project_id},

2
components/gcp/dataproc/submit_sparksql_job/sample.ipynb
View File

@ -81,7 +81,7 @@
"import kfp.components as comp\n",
"\n",
"dataproc_submit_sparksql_job_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataproc/submit_sparksql_job/component.yaml')\n",
"help(dataproc_submit_sparksql_job_op)"
]
},

2
components/gcp/ml_engine/batch_predict/README.md
View File

@ -94,7 +94,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
mlengine_batch_predict_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/ml_engine/batch_predict/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/ml_engine/batch_predict/component.yaml')
help(mlengine_batch_predict_op)
```

2
components/gcp/ml_engine/batch_predict/component.yaml
View File

@ -64,7 +64,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.ml_engine, batch_predict,
--project_id, {inputValue: project_id},

2
components/gcp/ml_engine/batch_predict/sample.ipynb
View File

@ -112,7 +112,7 @@
"import kfp.components as comp\n",
"\n",
"mlengine_batch_predict_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/ml_engine/batch_predict/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/ml_engine/batch_predict/component.yaml')\n",
"help(mlengine_batch_predict_op)"
]
},

2
components/gcp/ml_engine/deploy/README.md
View File

@ -110,7 +110,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
mlengine_deploy_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/ml_engine/deploy/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/ml_engine/deploy/component.yaml')
help(mlengine_deploy_op)
```

2
components/gcp/ml_engine/deploy/component.yaml
View File

@ -90,7 +90,7 @@ outputs:
type: String
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.ml_engine, deploy,
--model_uri, {inputValue: model_uri},

2
components/gcp/ml_engine/deploy/sample.ipynb
View File

@ -128,7 +128,7 @@
"import kfp.components as comp\n",
"\n",
"mlengine_deploy_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/ml_engine/deploy/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/ml_engine/deploy/component.yaml')\n",
"help(mlengine_deploy_op)"
]
},

2
components/gcp/ml_engine/train/README.md
View File

@ -86,7 +86,7 @@ KFP_PACKAGE = 'https://storage.googleapis.com/ml-pipeline/release/0.1.14/kfp.tar
import kfp.components as comp
mlengine_train_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/ml_engine/train/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/ml_engine/train/component.yaml')
help(mlengine_train_op)
```

2
components/gcp/ml_engine/train/component.yaml
View File

@ -98,7 +98,7 @@ outputs:
type: GCSPath
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-gcp:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-gcp:d4960d3379af4735fd04dc7167fab5fff82d0f22
args: [
kfp_component.google.ml_engine, train,
--project_id, {inputValue: project_id},

2
components/gcp/ml_engine/train/sample.ipynb
View File

@ -104,7 +104,7 @@
"import kfp.components as comp\n",
"\n",
"mlengine_train_op = comp.load_component_from_url(\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/ml_engine/train/component.yaml')\n",
" 'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/ml_engine/train/component.yaml')\n",
"help(mlengine_train_op)"
]
},

2
components/kubeflow/deployer/component.yaml
View File

@ -11,7 +11,7 @@ inputs:
# - {name: Endppoint URI, type: Serving URI, description: 'URI of the deployed prediction service..'}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:d4960d3379af4735fd04dc7167fab5fff82d0f22
command: [/bin/deploy.sh]
args: [
--model-export-path, {inputValue: Model dir},

2
components/kubeflow/dnntrainer/component.yaml
View File

@ -15,7 +15,7 @@ outputs:
- {name: Training output dir, type: GCSPath, description: 'GCS or local directory.'} # type: {GCSPath: {path_type: Directory}}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:d4960d3379af4735fd04dc7167fab5fff82d0f22
command: [python2, -m, trainer.task]
args: [
--transformed-data-dir, {inputValue: Transformed data dir},

2
components/kubeflow/launcher/kubeflow_tfjob_launcher_op.py
View File

@ -17,7 +17,7 @@ from kfp import dsl
def kubeflow_tfjob_launcher_op(container_image, command, number_of_workers: int, number_of_parameter_servers: int, tfjob_timeout_minutes: int, output_dir=None, step_name='TFJob-launcher'):
return dsl.ContainerOp(
name = step_name,
image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:1d55a27cf8b69696f3ab5c10687edf2fde0068c7',
image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf:d4960d3379af4735fd04dc7167fab5fff82d0f22',
arguments = [
'--workers', number_of_workers,
'--pss', number_of_parameter_servers,

6
components/kubeflow/launcher/src/train.template.yaml
View File

@ -26,7 +26,7 @@ spec:
spec:
containers:
- name: tensorflow
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:d4960d3379af4735fd04dc7167fab5fff82d0f22
command:
- python
- -m
@ -49,7 +49,7 @@ spec:
spec:
containers:
- name: tensorflow
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:d4960d3379af4735fd04dc7167fab5fff82d0f22
command:
- python
- -m
@ -72,7 +72,7 @@ spec:
spec:
containers:
- name: tensorflow
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:d4960d3379af4735fd04dc7167fab5fff82d0f22
command:
- python
- -m

2
components/local/confusion_matrix/component.yaml
View File

@ -9,7 +9,7 @@ inputs:
# - {name: Metrics, type: Metrics}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:d4960d3379af4735fd04dc7167fab5fff82d0f22
command: [python2, /ml/confusion_matrix.py]
args: [
--predictions, {inputValue: Predictions},

2
components/local/roc/component.yaml
View File

@ -11,7 +11,7 @@ inputs:
# - {name: Metrics, type: Metrics}
implementation:
container:
image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:1d55a27cf8b69696f3ab5c10687edf2fde0068c7
image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:d4960d3379af4735fd04dc7167fab5fff82d0f22
command: [python2, /ml/roc.py]
args: [
--predictions, {inputValue: Predictions dir},

10
samples/kubeflow-tf/kubeflow-training-classification.py
View File

@ -19,10 +19,10 @@ from kfp import components
from kfp import dsl
from kfp import gcp
dataflow_tf_transform_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/dataflow/tft/component.yaml')
kubeflow_tf_training_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/kubeflow/dnntrainer/component.yaml')
dataflow_tf_predict_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/dataflow/predict/component.yaml')
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/local/confusion_matrix/component.yaml')
dataflow_tf_transform_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/dataflow/tft/component.yaml')
kubeflow_tf_training_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/kubeflow/dnntrainer/component.yaml')
dataflow_tf_predict_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/dataflow/predict/component.yaml')
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/local/confusion_matrix/component.yaml')
@dsl.pipeline(
name='TF training and prediction pipeline',
@ -68,7 +68,7 @@ def kubeflow_training(output, project,
).apply(gcp.use_gcp_secret('user-gcp-sa'))
if use_gpu:
training.image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:1d55a27cf8b69696f3ab5c10687edf2fde0068c7',
training.image = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:d4960d3379af4735fd04dc7167fab5fff82d0f22',
training.set_gpu_limit(1)
prediction = dataflow_tf_predict_op(

14
samples/notebooks/KubeFlow Pipeline Using TFX OSS Components.ipynb
View File

@ -44,13 +44,13 @@
"EVAL_DATA = 'gs://ml-pipeline-playground/tfx/taxi-cab-classification/eval.csv'\n",
"HIDDEN_LAYER_SIZE = '1500'\n",
"STEPS = 3000\n",
"DATAFLOW_TFDV_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:1d55a27cf8b69696f3ab5c10687edf2fde0068c7'\n",
"DATAFLOW_TFT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:1d55a27cf8b69696f3ab5c10687edf2fde0068c7'\n",
"DATAFLOW_TFMA_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:1d55a27cf8b69696f3ab5c10687edf2fde0068c7'\n",
"DATAFLOW_TF_PREDICT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:1d55a27cf8b69696f3ab5c10687edf2fde0068c7'\n",
"KUBEFLOW_TF_TRAINER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:1d55a27cf8b69696f3ab5c10687edf2fde0068c7'\n",
"KUBEFLOW_TF_TRAINER_GPU_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:1d55a27cf8b69696f3ab5c10687edf2fde0068c7'\n",
"KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:1d55a27cf8b69696f3ab5c10687edf2fde0068c7'\n",
"DATAFLOW_TFDV_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfdv:d4960d3379af4735fd04dc7167fab5fff82d0f22'\n",
"DATAFLOW_TFT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tft:d4960d3379af4735fd04dc7167fab5fff82d0f22'\n",
"DATAFLOW_TFMA_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tfma:d4960d3379af4735fd04dc7167fab5fff82d0f22'\n",
"DATAFLOW_TF_PREDICT_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-dataflow-tf-predict:d4960d3379af4735fd04dc7167fab5fff82d0f22'\n",
"KUBEFLOW_TF_TRAINER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer:d4960d3379af4735fd04dc7167fab5fff82d0f22'\n",
"KUBEFLOW_TF_TRAINER_GPU_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-tf-trainer-gpu:d4960d3379af4735fd04dc7167fab5fff82d0f22'\n",
"KUBEFLOW_DEPLOYER_IMAGE = 'gcr.io/ml-pipeline/ml-pipeline-kubeflow-deployer:d4960d3379af4735fd04dc7167fab5fff82d0f22'\n",
"DEPLOYER_MODEL = 'notebook_tfx_taxi'\n",
"DEPLOYER_VERSION_DEV = 'dev'\n",
"DEPLOYER_VERSION_PROD = 'prod'\n",

6
samples/resnet-cmle/resnet-train-pipeline.py
View File

@ -22,11 +22,11 @@ import json
import os
dataflow_python_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/dataflow/launch_python/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/dataflow/launch_python/component.yaml')
cloudml_train_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/ml_engine/train/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/ml_engine/train/component.yaml')
cloudml_deploy_op = comp.load_component_from_url(
'https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/gcp/ml_engine/deploy/component.yaml')
'https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/gcp/ml_engine/deploy/component.yaml')
def resnet_preprocess_op(project_id: 'GcpProject', output: 'GcsUri', staging_dir: 'GcsUri', train_csv: 'GcsUri[text/csv]',

16
samples/tfx/taxi-cab-classification-pipeline.py
View File

@ -22,16 +22,16 @@ from kfp import onprem
platform = 'GCP'
dataflow_tf_data_validation_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/dataflow/tfdv/component.yaml')
dataflow_tf_transform_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/dataflow/tft/component.yaml')
tf_train_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/kubeflow/dnntrainer/component.yaml')
dataflow_tf_model_analyze_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/dataflow/tfma/component.yaml')
dataflow_tf_predict_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/dataflow/predict/component.yaml')
dataflow_tf_data_validation_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/dataflow/tfdv/component.yaml')
dataflow_tf_transform_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/dataflow/tft/component.yaml')
tf_train_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/kubeflow/dnntrainer/component.yaml')
dataflow_tf_model_analyze_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/dataflow/tfma/component.yaml')
dataflow_tf_predict_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/dataflow/predict/component.yaml')
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/local/confusion_matrix/component.yaml')
roc_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/local/roc/component.yaml')
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/local/confusion_matrix/component.yaml')
roc_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/local/roc/component.yaml')
kubeflow_deploy_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/kubeflow/deployer/component.yaml')
kubeflow_deploy_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/kubeflow/deployer/component.yaml')
@dsl.pipeline(
name='TFX Taxi Cab Classification Pipeline Example',

16
samples/xgboost-spark/xgboost-training-cm.py
View File

@ -20,8 +20,8 @@ from kfp import components
from kfp import dsl
from kfp import gcp
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/local/confusion_matrix/component.yaml')
roc_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/f379080516a34d9c257a198cde9ac219d625ab84/components/local/roc/component.yaml')
confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/local/confusion_matrix/component.yaml')
roc_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/d0aa15dfb3ff618e8cd1b03f86804ec4307fd9c2/components/local/roc/component.yaml')
# ! Please do not forget to enable the Dataproc API in your cluster https://console.developers.google.com/apis/api/dataproc.googleapis.com/overview
@ -36,7 +36,7 @@ def dataproc_create_cluster_op(
):
return dsl.ContainerOp(
name='Dataproc - Create cluster',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:1d55a27cf8b69696f3ab5c10687edf2fde0068c7',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-create-cluster:d4960d3379af4735fd04dc7167fab5fff82d0f22',
arguments=[
'--project', project,
'--region', region,
@ -56,7 +56,7 @@ def dataproc_delete_cluster_op(
):
return dsl.ContainerOp(
name='Dataproc - Delete cluster',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:1d55a27cf8b69696f3ab5c10687edf2fde0068c7',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-delete-cluster:d4960d3379af4735fd04dc7167fab5fff82d0f22',
arguments=[
'--project', project,
'--region', region,
@ -76,7 +76,7 @@ def dataproc_analyze_op(
):
return dsl.ContainerOp(
name='Dataproc - Analyze',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:1d55a27cf8b69696f3ab5c10687edf2fde0068c7',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-analyze:d4960d3379af4735fd04dc7167fab5fff82d0f22',
arguments=[
'--project', project,
'--region', region,
@ -103,7 +103,7 @@ def dataproc_transform_op(
):
return dsl.ContainerOp(
name='Dataproc - Transform',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:1d55a27cf8b69696f3ab5c10687edf2fde0068c7',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-transform:d4960d3379af4735fd04dc7167fab5fff82d0f22',
arguments=[
'--project', project,
'--region', region,
@ -141,7 +141,7 @@ def dataproc_train_op(
return dsl.ContainerOp(
name='Dataproc - Train XGBoost model',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-train:1d55a27cf8b69696f3ab5c10687edf2fde0068c7',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-train:d4960d3379af4735fd04dc7167fab5fff82d0f22',
arguments=[
'--project', project,
'--region', region,
@ -174,7 +174,7 @@ def dataproc_predict_op(
):
return dsl.ContainerOp(
name='Dataproc - Predict with XGBoost model',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:1d55a27cf8b69696f3ab5c10687edf2fde0068c7',
image='gcr.io/ml-pipeline/ml-pipeline-dataproc-predict:d4960d3379af4735fd04dc7167fab5fff82d0f22',
arguments=[
'--project', project,
'--region', region,

2
sdk/python/setup.py
View File

@ -15,7 +15,7 @@
from setuptools import setup
NAME = 'kfp'
VERSION = '0.1.20'
VERSION = '0.1.22'
REQUIRES = [
'urllib3>=1.15,<1.25', #Fixing the version conflict with the "requests" package