# 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).
import 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.config.from_file()
# Initialize service client with default config file
data_science_client = oci.data_science.DataScienceClient(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(
create_model_deployment_details=oci.data_science.models.CreateModelDeploymentDetails(
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.data_science.models.SingleModelDeploymentConfigurationDetails(
deployment_type="SINGLE_MODEL",
model_configuration_details=oci.data_science.models.ModelConfigurationDetails(
model_id="ocid1.test.oc1..<unique_ID>EXAMPLE-modelId-Value",
instance_configuration=oci.data_science.models.InstanceConfiguration(
instance_shape_name="EXAMPLE-instanceShapeName-Value",
model_deployment_instance_shape_config_details=oci.data_science.models.ModelDeploymentInstanceShapeConfigDetails(
ocpus=44.47517,
memory_in_gbs=683.5884,
cpu_baseline="BASELINE_1_8"),
subnet_id="ocid1.test.oc1..<unique_ID>EXAMPLE-subnetId-Value",
private_endpoint_id="ocid1.test.oc1..<unique_ID>EXAMPLE-privateEndpointId-Value"),
scaling_policy=oci.data_science.models.AutoScalingPolicy(
policy_type="AUTOSCALING",
auto_scaling_policies=[
oci.data_science.models.ThresholdBasedAutoScalingPolicyDetails(
auto_scaling_policy_type="THRESHOLD",
rules=[
oci.data_science.models.PredefinedMetricExpressionRule(
metric_expression_rule_type="PREDEFINED_EXPRESSION",
metric_type="MEMORY_UTILIZATION",
scale_in_configuration=oci.data_science.models.PredefinedExpressionThresholdScalingConfiguration(
scaling_configuration_type="THRESHOLD",
threshold=535,
pending_duration="EXAMPLE-pendingDuration-Value",
instance_count_adjustment=244))],
maximum_instance_count=4,
minimum_instance_count=820,
initial_instance_count=932)],
cool_down_in_seconds=762,
is_enabled=True),
bandwidth_mbps=188,
maximum_bandwidth_mbps=1848),
environment_configuration_details=oci.data_science.models.DefaultModelDeploymentEnvironmentConfigurationDetails(
environment_configuration_type="DEFAULT",
environment_variables={
'EXAMPLE_KEY_dabHL': 'EXAMPLE_VALUE_hCCTFAXUCLUDEhfgZ9fI'})),
display_name="EXAMPLE-displayName-Value",
description="EXAMPLE-description-Value",
category_log_details=oci.data_science.models.CategoryLogDetails(
access=oci.data_science.models.LogDetails(
log_id="ocid1.test.oc1..<unique_ID>EXAMPLE-logId-Value",
log_group_id="ocid1.test.oc1..<unique_ID>EXAMPLE-logGroupId-Value"),
predict=oci.data_science.models.LogDetails(
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_4BvjV': 'EXAMPLE_VALUE_tNQAEPCg5mM1cJCNE63y'},
defined_tags={
'EXAMPLE_KEY_xSqp0': {
'EXAMPLE_KEY_hcheZ': 'EXAMPLE--Value'}}),
opc_request_id="2XUFVSNR57GADGTU0QEQ<unique_ID>",
opc_retry_token="EXAMPLE-opcRetryToken-Value",
opc_parent_rpt_url="EXAMPLE-opcParentRptUrl-Value")
# Get the data from response
print(create_model_deployment_response.data)