# This is an automatically generated code sample.
# To make this code sample work in your Oracle Cloud tenancy,
# please replace the values for any parameters whose current values do not fit
# your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
# boolean, number, and enum parameters with values not fitting your use case).
require 'oci'
# Create a default config using DEFAULT profile in default location
# Refer to https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File for more info
config = OCI::ConfigFileLoader.load_config
# Initialize service client with default config file
data_science_client = OCI::DataScience::DataScienceClient.new(config: config)
# Send the request to service, some parameters are not required, see API doc for more info
create_model_deployment_response =
data_science_client.create_model_deployment(
OCI::DataScience::Models::CreateModelDeploymentDetails.new(
project_id: 'ocid1.test.oc1..<unique_ID>EXAMPLE-projectId-Value',
compartment_id: 'ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value',
model_deployment_configuration_details:
OCI::DataScience::Models::SingleModelDeploymentConfigurationDetails.new(
deployment_type: 'SINGLE_MODEL',
model_configuration_details:
OCI::DataScience::Models::ModelConfigurationDetails.new(
model_id: 'ocid1.test.oc1..<unique_ID>EXAMPLE-modelId-Value',
instance_configuration:
OCI::DataScience::Models::InstanceConfiguration.new(
instance_shape_name: 'EXAMPLE-instanceShapeName-Value',
model_deployment_instance_shape_config_details:
OCI::DataScience::Models::ModelDeploymentInstanceShapeConfigDetails
.new(
ocpus: 54.46585,
memory_in_gbs: 992.97003,
cpu_baseline: 'BASELINE_1_2'
),
subnet_id:
'ocid1.test.oc1..<unique_ID>EXAMPLE-subnetId-Value',
private_endpoint_id:
'ocid1.test.oc1..<unique_ID>EXAMPLE-privateEndpointId-Value'
),
scaling_policy:
OCI::DataScience::Models::AutoScalingPolicy.new(
policy_type: 'AUTOSCALING',
auto_scaling_policies: [
OCI::DataScience::Models::ThresholdBasedAutoScalingPolicyDetails
.new(
auto_scaling_policy_type: 'THRESHOLD',
rules: [
OCI::DataScience::Models::PredefinedMetricExpressionRule
.new(
metric_expression_rule_type: 'PREDEFINED_EXPRESSION',
metric_type: 'MEMORY_UTILIZATION',
scale_in_configuration:
OCI::DataScience::Models::PredefinedExpressionThresholdScalingConfiguration
.new(
scaling_configuration_type: 'THRESHOLD',
threshold: 49,
pending_duration: 'EXAMPLE-pendingDuration-Value',
instance_count_adjustment: 717
)
)
],
maximum_instance_count: 5,
minimum_instance_count: 94,
initial_instance_count: 118
)
],
cool_down_in_seconds: 944,
is_enabled: false
),
bandwidth_mbps: 237,
maximum_bandwidth_mbps: 1284
),
environment_configuration_details:
OCI::DataScience::Models::DefaultModelDeploymentEnvironmentConfigurationDetails
.new(
environment_configuration_type: 'DEFAULT',
environment_variables: {
'EXAMPLE_KEY_EmpwI' => 'EXAMPLE_VALUE_ep2zNMRKZeRTbsfB6mzd'
}
)
),
display_name: 'EXAMPLE-displayName-Value',
description: 'EXAMPLE-description-Value',
category_log_details:
OCI::DataScience::Models::CategoryLogDetails.new(
access:
OCI::DataScience::Models::LogDetails.new(
log_id: 'ocid1.test.oc1..<unique_ID>EXAMPLE-logId-Value',
log_group_id:
'ocid1.test.oc1..<unique_ID>EXAMPLE-logGroupId-Value'
),
predict:
OCI::DataScience::Models::LogDetails.new(
log_id: 'ocid1.test.oc1..<unique_ID>EXAMPLE-logId-Value',
log_group_id:
'ocid1.test.oc1..<unique_ID>EXAMPLE-logGroupId-Value'
)
),
freeform_tags: {
'EXAMPLE_KEY_QMnua' => 'EXAMPLE_VALUE_ig0q4Mv4u2rJ8jNazGdi'
},
defined_tags: {
'EXAMPLE_KEY_J9y5u' => { 'EXAMPLE_KEY_qNo0G' => 'EXAMPLE--Value' }
}
)
)
# Get the data from response
puts "#{create_model_deployment_response.data}"