Google Cloud Native v0.28.0, Feb 2 23

google-native.firebaseml/v1beta2.Model

Creates a model in Firebase ML. The longrunning operation will eventually return a Model

Create Model Resource

new Model(name: string, args: ModelArgs, opts?: CustomResourceOptions);

@overload
def Model(resource_name: str,
          opts: Optional[ResourceOptions] = None,
          display_name: Optional[str] = None,
          name: Optional[str] = None,
          project: Optional[str] = None,
          state: Optional[ModelStateArgs] = None,
          tags: Optional[Sequence[str]] = None,
          tflite_model: Optional[TfLiteModelArgs] = None)
@overload
def Model(resource_name: str,
          args: ModelArgs,
          opts: Optional[ResourceOptions] = None)

func NewModel(ctx *Context, name string, args ModelArgs, opts ...ResourceOption) (*Model, error)

public Model(string name, ModelArgs args, CustomResourceOptions? opts = null)

public Model(String name, ModelArgs args)
public Model(String name, ModelArgs args, CustomResourceOptions options)

type: google-native:firebaseml/v1beta2:Model
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args ModelArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

Model Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The Model resource accepts the following input properties:

DisplayName string: The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
Name string: The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
Project string
State Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.ModelStateArgs: State common to all model types. Includes publishing and validation information.
Tags List<string>: User defined tags which can be used to group/filter models during listing
TfliteModel Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.TfLiteModelArgs: A TFLite Model

DisplayName string: The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
Name string: The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
Project string
State ModelStateTypeArgs: State common to all model types. Includes publishing and validation information.
Tags []string: User defined tags which can be used to group/filter models during listing
TfliteModel TfLiteModelArgs: A TFLite Model

displayName String: The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
name String: The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
project String
state ModelStateArgs: State common to all model types. Includes publishing and validation information.
tags List<String>: User defined tags which can be used to group/filter models during listing
tfliteModel TfLiteModelArgs: A TFLite Model

displayName string: The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
name string: The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
project string
state ModelStateArgs: State common to all model types. Includes publishing and validation information.
tags string[]: User defined tags which can be used to group/filter models during listing
tfliteModel TfLiteModelArgs: A TFLite Model

display_name str: The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
name str: The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
project str
state ModelStateArgs: State common to all model types. Includes publishing and validation information.
tags Sequence[str]: User defined tags which can be used to group/filter models during listing
tflite_model TfLiteModelArgs: A TFLite Model

displayName String: The name of the model to create. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores(_) and ASCII digits 0-9. It must start with a letter.
name String: The resource name of the Model. Model names have the form projects/{project_id}/models/{model_id} The name is ignored when creating a model.
project String
state Property Map: State common to all model types. Includes publishing and validation information.
tags List<String>: User defined tags which can be used to group/filter models during listing
tfliteModel Property Map: A TFLite Model

Outputs

All input properties are implicitly available as output properties. Additionally, the Model resource produces the following output properties:

ActiveOperations List<Pulumi.GoogleNative.FirebaseML.V1Beta2.Outputs.OperationResponse>: Lists operation ids associated with this model whose status is NOT done.
CreateTime string: Timestamp when this model was created in Firebase ML.
Etag string: See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
Id string: The provider-assigned unique ID for this managed resource.
ModelHash string: The model_hash will change if a new file is available for download.
UpdateTime string: Timestamp when this model was updated in Firebase ML.

ActiveOperations []OperationResponse: Lists operation ids associated with this model whose status is NOT done.
CreateTime string: Timestamp when this model was created in Firebase ML.
Etag string: See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
Id string: The provider-assigned unique ID for this managed resource.
ModelHash string: The model_hash will change if a new file is available for download.
UpdateTime string: Timestamp when this model was updated in Firebase ML.

activeOperations List<OperationResponse>: Lists operation ids associated with this model whose status is NOT done.
createTime String: Timestamp when this model was created in Firebase ML.
etag String: See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
id String: The provider-assigned unique ID for this managed resource.
modelHash String: The model_hash will change if a new file is available for download.
updateTime String: Timestamp when this model was updated in Firebase ML.

activeOperations OperationResponse[]: Lists operation ids associated with this model whose status is NOT done.
createTime string: Timestamp when this model was created in Firebase ML.
etag string: See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
id string: The provider-assigned unique ID for this managed resource.
modelHash string: The model_hash will change if a new file is available for download.
updateTime string: Timestamp when this model was updated in Firebase ML.

active_operations Sequence[OperationResponse]: Lists operation ids associated with this model whose status is NOT done.
create_time str: Timestamp when this model was created in Firebase ML.
etag str: See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
id str: The provider-assigned unique ID for this managed resource.
model_hash str: The model_hash will change if a new file is available for download.
update_time str: Timestamp when this model was updated in Firebase ML.

activeOperations List<Property Map>: Lists operation ids associated with this model whose status is NOT done.
createTime String: Timestamp when this model was created in Firebase ML.
etag String: See RFC7232 https://tools.ietf.org/html/rfc7232#section-2.3
id String: The provider-assigned unique ID for this managed resource.
modelHash String: The model_hash will change if a new file is available for download.
updateTime String: Timestamp when this model was updated in Firebase ML.

Supporting Types

ModelState

Published bool: Indicates if this model has been published.

Published bool: Indicates if this model has been published.

published Boolean: Indicates if this model has been published.

published boolean: Indicates if this model has been published.

published bool: Indicates if this model has been published.

published Boolean: Indicates if this model has been published.

ModelStateResponse

Published bool: Indicates if this model has been published.
ValidationError Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.StatusResponse: Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

Published bool: Indicates if this model has been published.
ValidationError StatusResponse: Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

published Boolean: Indicates if this model has been published.
validationError StatusResponse: Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

published boolean: Indicates if this model has been published.
validationError StatusResponse: Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

published bool: Indicates if this model has been published.
validation_error StatusResponse: Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

published Boolean: Indicates if this model has been published.
validationError Property Map: Indicates the latest validation error on the model if any. A model may have validation errors if there were problems during the model creation/update. e.g. in the case of a TfLiteModel, if a tflite model file was missing or in the wrong format. This field will be empty for valid models.

OperationResponse

Done bool: If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
Error Pulumi.GoogleNative.FirebaseML.V1Beta2.Inputs.StatusResponse: The error result of the operation in case of failure or cancellation.
Metadata Dictionary<string, string>: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
Name string: The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
Response Dictionary<string, string>: The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

Done bool: If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
Error StatusResponse: The error result of the operation in case of failure or cancellation.
Metadata map[string]string: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
Name string: The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
Response map[string]string: The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

done Boolean: If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
error StatusResponse: The error result of the operation in case of failure or cancellation.
metadata Map<String,String>: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
name String: The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
response Map<String,String>: The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

done boolean: If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
error StatusResponse: The error result of the operation in case of failure or cancellation.
metadata {[key: string]: string}: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
name string: The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
response {[key: string]: string}: The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

done bool: If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
error StatusResponse: The error result of the operation in case of failure or cancellation.
metadata Mapping[str, str]: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
name str: The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
response Mapping[str, str]: The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

done Boolean: If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
error Property Map: The error result of the operation in case of failure or cancellation.
metadata Map<String>: Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
name String: The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
response Map<String>: The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.

StatusResponse

Code int: The status code, which should be an enum value of google.rpc.Code.
Details List<ImmutableDictionary<string, string>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

Code int: The status code, which should be an enum value of google.rpc.Code.
Details []map[string]string: A list of messages that carry the error details. There is a common set of message types for APIs to use.
Message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code Integer: The status code, which should be an enum value of google.rpc.Code.
details List<Map<String,String>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message String: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code number: The status code, which should be an enum value of google.rpc.Code.
details {[key: string]: string}[]: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message string: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code int: The status code, which should be an enum value of google.rpc.Code.
details Sequence[Mapping[str, str]]: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message str: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

code Number: The status code, which should be an enum value of google.rpc.Code.
details List<Map<String>>: A list of messages that carry the error details. There is a common set of message types for APIs to use.
message String: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.

TfLiteModel

AutomlModel string: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
GcsTfliteUri string: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

AutomlModel string: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
GcsTfliteUri string: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

automlModel String: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
gcsTfliteUri String: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

automlModel string: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
gcsTfliteUri string: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

automl_model str: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
gcs_tflite_uri str: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

automlModel String: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
gcsTfliteUri String: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.

TfLiteModelResponse

AutomlModel string: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
GcsTfliteUri string: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
SizeBytes string: The size of the TFLite model

AutomlModel string: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
GcsTfliteUri string: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
SizeBytes string: The size of the TFLite model

automlModel String: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
gcsTfliteUri String: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
sizeBytes String: The size of the TFLite model

automlModel string: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
gcsTfliteUri string: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
sizeBytes string: The size of the TFLite model

automl_model str: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
gcs_tflite_uri str: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
size_bytes str: The size of the TFLite model

automlModel String: The AutoML model id referencing a model you created with the AutoML API. The name should have format 'projects//locations//models/' (This is the model resource name returned from the AutoML API)
gcsTfliteUri String: The TfLite file containing the model. (Stored in Google Cloud). The gcs_tflite_uri should have form: gs://some-bucket/some-model.tflite Note: If you update the file in the original location, it is necessary to call UpdateModel for ML to pick up and validate the updated file.
sizeBytes String: The size of the TFLite model

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0