- 0.58.0 (latest)
- 0.57.0
- 0.56.0
- 0.55.0
- 0.54.0
- 0.53.0
- 0.52.0
- 0.51.0
- 0.50.0
- 0.49.0
- 0.48.0
- 0.47.0
- 0.46.0
- 0.45.0
- 0.44.0
- 0.43.0
- 0.42.0
- 0.41.0
- 0.40.0
- 0.39.0
- 0.38.0
- 0.37.0
- 0.36.0
- 0.35.0
- 0.34.0
- 0.33.0
- 0.32.0
- 0.31.0
- 0.30.0
- 0.29.0
- 0.28.0
- 0.27.0
- 0.26.0
- 0.25.0
- 0.24.0
- 0.23.0
- 0.22.0
- 0.21.0
- 0.20.0
- 0.19.0
- 0.18.0
- 0.17.0
- 0.16.0
- 0.15.0
- 0.14.0
- 0.13.0
- 0.12.0
- 0.11.0
- 0.10.0
- 0.9.1
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- 0.1.0
Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::PythonPackageSpec.
The spec of a Python packaged code.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#args
def args() -> ::Array<::String>
Returns
- (::Array<::String>) — Command line arguments to be passed to the Python task.
#args=
def args=(value) -> ::Array<::String>
Parameter
- value (::Array<::String>) — Command line arguments to be passed to the Python task.
Returns
- (::Array<::String>) — Command line arguments to be passed to the Python task.
#env
def env() -> ::Array<::Google::Cloud::AIPlatform::V1::EnvVar>
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::EnvVar>) — Environment variables to be passed to the python module. Maximum limit is 100.
#env=
def env=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::EnvVar>
Parameter
- value (::Array<::Google::Cloud::AIPlatform::V1::EnvVar>) — Environment variables to be passed to the python module. Maximum limit is 100.
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::EnvVar>) — Environment variables to be passed to the python module. Maximum limit is 100.
#executor_image_uri
def executor_image_uri() -> ::String
Returns
- (::String) — Required. The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
#executor_image_uri=
def executor_image_uri=(value) -> ::String
Parameter
- value (::String) — Required. The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
Returns
- (::String) — Required. The URI of a container image in Artifact Registry that will run the provided Python package. Vertex AI provides a wide range of executor images with pre-installed packages to meet users' various use cases. See the list of pre-built containers for training. You must use an image from this list.
#package_uris
def package_uris() -> ::Array<::String>
Returns
- (::Array<::String>) — Required. The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
#package_uris=
def package_uris=(value) -> ::Array<::String>
Parameter
- value (::Array<::String>) — Required. The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
Returns
- (::Array<::String>) — Required. The Google Cloud Storage location of the Python package files which are the training program and its dependent packages. The maximum number of package URIs is 100.
#python_module
def python_module() -> ::String
Returns
- (::String) — Required. The Python module name to run after installing the packages.
#python_module=
def python_module=(value) -> ::String
Parameter
- value (::String) — Required. The Python module name to run after installing the packages.
Returns
- (::String) — Required. The Python module name to run after installing the packages.