Update docs
diff --git a/docs/dyn/ml_v1beta1.projects.jobs.html b/docs/dyn/ml_v1beta1.projects.jobs.html
index 427080e..3882bfd 100644
--- a/docs/dyn/ml_v1beta1.projects.jobs.html
+++ b/docs/dyn/ml_v1beta1.projects.jobs.html
@@ -168,20 +168,20 @@
"modelName": "A String", # Use this field if you want to use the default version for the specified
# model. The string must use the following format:
#
- # `"project/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
+ # `"projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
"inputPaths": [ # Required. The Google Cloud Storage location of the input data files.
# May contain wildcards.
"A String",
],
- "maxWorkerCount": "A String", # Optional. The maximum amount of workers to be used for parallel processing.
- # Defaults to 10.
+ "maxWorkerCount": "A String", # Optional. The maximum number of workers to be used for parallel processing.
+ # Defaults to 10 if not specified.
"outputPath": "A String", # Required. The output Google Cloud Storage location.
"dataFormat": "A String", # Required. The format of the input data files.
"versionName": "A String", # Use this field if you want to specify a version of the model to use. The
# string is formatted the same way as `model_version`, with the addition
# of the version information:
#
- # `"project/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
+ # `"projects/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
"region": "A String", # Required. The Google Compute Engine region to run the prediction job in.
},
"trainingInput": { # Represents input parameters for a training job. # Input parameters to create a training job.
@@ -357,20 +357,20 @@
"modelName": "A String", # Use this field if you want to use the default version for the specified
# model. The string must use the following format:
#
- # `"project/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
+ # `"projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
"inputPaths": [ # Required. The Google Cloud Storage location of the input data files.
# May contain wildcards.
"A String",
],
- "maxWorkerCount": "A String", # Optional. The maximum amount of workers to be used for parallel processing.
- # Defaults to 10.
+ "maxWorkerCount": "A String", # Optional. The maximum number of workers to be used for parallel processing.
+ # Defaults to 10 if not specified.
"outputPath": "A String", # Required. The output Google Cloud Storage location.
"dataFormat": "A String", # Required. The format of the input data files.
"versionName": "A String", # Use this field if you want to specify a version of the model to use. The
# string is formatted the same way as `model_version`, with the addition
# of the version information:
#
- # `"project/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
+ # `"projects/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
"region": "A String", # Required. The Google Compute Engine region to run the prediction job in.
},
"trainingInput": { # Represents input parameters for a training job. # Input parameters to create a training job.
@@ -555,20 +555,20 @@
"modelName": "A String", # Use this field if you want to use the default version for the specified
# model. The string must use the following format:
#
- # `"project/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
+ # `"projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
"inputPaths": [ # Required. The Google Cloud Storage location of the input data files.
# May contain wildcards.
"A String",
],
- "maxWorkerCount": "A String", # Optional. The maximum amount of workers to be used for parallel processing.
- # Defaults to 10.
+ "maxWorkerCount": "A String", # Optional. The maximum number of workers to be used for parallel processing.
+ # Defaults to 10 if not specified.
"outputPath": "A String", # Required. The output Google Cloud Storage location.
"dataFormat": "A String", # Required. The format of the input data files.
"versionName": "A String", # Use this field if you want to specify a version of the model to use. The
# string is formatted the same way as `model_version`, with the addition
# of the version information:
#
- # `"project/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
+ # `"projects/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
"region": "A String", # Required. The Google Compute Engine region to run the prediction job in.
},
"trainingInput": { # Represents input parameters for a training job. # Input parameters to create a training job.
@@ -767,20 +767,20 @@
"modelName": "A String", # Use this field if you want to use the default version for the specified
# model. The string must use the following format:
#
- # `"project/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
+ # `"projects/<var>[YOUR_PROJECT]</var>/models/<var>[YOUR_MODEL]</var>"`
"inputPaths": [ # Required. The Google Cloud Storage location of the input data files.
# May contain wildcards.
"A String",
],
- "maxWorkerCount": "A String", # Optional. The maximum amount of workers to be used for parallel processing.
- # Defaults to 10.
+ "maxWorkerCount": "A String", # Optional. The maximum number of workers to be used for parallel processing.
+ # Defaults to 10 if not specified.
"outputPath": "A String", # Required. The output Google Cloud Storage location.
"dataFormat": "A String", # Required. The format of the input data files.
"versionName": "A String", # Use this field if you want to specify a version of the model to use. The
# string is formatted the same way as `model_version`, with the addition
# of the version information:
#
- # `"project/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
+ # `"projects/<var>[YOUR_PROJECT]</var>/models/<var>YOUR_MODEL/versions/<var>[YOUR_VERSION]</var>"`
"region": "A String", # Required. The Google Compute Engine region to run the prediction job in.
},
"trainingInput": { # Represents input parameters for a training job. # Input parameters to create a training job.