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model_training_results.go
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model_training_results.go
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// Copyright (c) 2016, 2018, 2023, Oracle and/or its affiliates. All rights reserved.
// This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
// Code generated. DO NOT EDIT.
// Anomaly Detection API
//
// OCI AI Service solutions can help Enterprise customers integrate AI into their products immediately by using our proven,
// pre-trained/custom models or containers, and without a need to set up in house team of AI and ML experts.
// This allows enterprises to focus on business drivers and development work rather than AI/ML operations, shortening the time to market.
//
package aianomalydetection
import (
"fmt"
"github.com/oracle/oci-go-sdk/v65/common"
"strings"
)
// ModelTrainingResults Specifies the details for an Anomaly Detection model trained with MSET.
type ModelTrainingResults struct {
// The final-achieved model accuracy metric on individual value level
Fap *float32 `mandatory:"true" json:"fap"`
// The model accuracy metric on timestamp level.
MultivariateFap *float32 `mandatory:"false" json:"multivariateFap"`
// Actual algorithm used to train the model
Algorithm ModelTrainingResultsAlgorithmEnum `mandatory:"false" json:"algorithm,omitempty"`
// Window size defined during training or deduced by the algorithm.
WindowSize *int `mandatory:"false" json:"windowSize"`
// A boolean value to indicate if train goal/targetFap is achieved for trained model
IsTrainingGoalAchieved *bool `mandatory:"false" json:"isTrainingGoalAchieved"`
// A warning message to explain the reason when targetFap cannot be achieved for trained model
Warning *string `mandatory:"false" json:"warning"`
// The list of signal details.
SignalDetails []PerSignalDetails `mandatory:"false" json:"signalDetails"`
RowReductionDetails *RowReductionDetails `mandatory:"false" json:"rowReductionDetails"`
}
func (m ModelTrainingResults) String() string {
return common.PointerString(m)
}
// ValidateEnumValue returns an error when providing an unsupported enum value
// This function is being called during constructing API request process
// Not recommended for calling this function directly
func (m ModelTrainingResults) ValidateEnumValue() (bool, error) {
errMessage := []string{}
if _, ok := GetMappingModelTrainingResultsAlgorithmEnum(string(m.Algorithm)); !ok && m.Algorithm != "" {
errMessage = append(errMessage, fmt.Sprintf("unsupported enum value for Algorithm: %s. Supported values are: %s.", m.Algorithm, strings.Join(GetModelTrainingResultsAlgorithmEnumStringValues(), ",")))
}
if len(errMessage) > 0 {
return true, fmt.Errorf(strings.Join(errMessage, "\n"))
}
return false, nil
}
// ModelTrainingResultsAlgorithmEnum Enum with underlying type: string
type ModelTrainingResultsAlgorithmEnum string
// Set of constants representing the allowable values for ModelTrainingResultsAlgorithmEnum
const (
ModelTrainingResultsAlgorithmMultivariateMset ModelTrainingResultsAlgorithmEnum = "MULTIVARIATE_MSET"
ModelTrainingResultsAlgorithmUnivariateOcsvm ModelTrainingResultsAlgorithmEnum = "UNIVARIATE_OCSVM"
)
var mappingModelTrainingResultsAlgorithmEnum = map[string]ModelTrainingResultsAlgorithmEnum{
"MULTIVARIATE_MSET": ModelTrainingResultsAlgorithmMultivariateMset,
"UNIVARIATE_OCSVM": ModelTrainingResultsAlgorithmUnivariateOcsvm,
}
var mappingModelTrainingResultsAlgorithmEnumLowerCase = map[string]ModelTrainingResultsAlgorithmEnum{
"multivariate_mset": ModelTrainingResultsAlgorithmMultivariateMset,
"univariate_ocsvm": ModelTrainingResultsAlgorithmUnivariateOcsvm,
}
// GetModelTrainingResultsAlgorithmEnumValues Enumerates the set of values for ModelTrainingResultsAlgorithmEnum
func GetModelTrainingResultsAlgorithmEnumValues() []ModelTrainingResultsAlgorithmEnum {
values := make([]ModelTrainingResultsAlgorithmEnum, 0)
for _, v := range mappingModelTrainingResultsAlgorithmEnum {
values = append(values, v)
}
return values
}
// GetModelTrainingResultsAlgorithmEnumStringValues Enumerates the set of values in String for ModelTrainingResultsAlgorithmEnum
func GetModelTrainingResultsAlgorithmEnumStringValues() []string {
return []string{
"MULTIVARIATE_MSET",
"UNIVARIATE_OCSVM",
}
}
// GetMappingModelTrainingResultsAlgorithmEnum performs case Insensitive comparison on enum value and return the desired enum
func GetMappingModelTrainingResultsAlgorithmEnum(val string) (ModelTrainingResultsAlgorithmEnum, bool) {
enum, ok := mappingModelTrainingResultsAlgorithmEnumLowerCase[strings.ToLower(val)]
return enum, ok
}