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model_automlvertical.go
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/
model_automlvertical.go
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package job
import (
"encoding/json"
"fmt"
"strings"
)
// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License. See NOTICE.txt in the project root for license information.
type AutoMLVertical interface {
}
// RawAutoMLVerticalImpl is returned when the Discriminated Value
// doesn't match any of the defined types
// NOTE: this should only be used when a type isn't defined for this type of Object (as a workaround)
// and is used only for Deserialization (e.g. this cannot be used as a Request Payload).
type RawAutoMLVerticalImpl struct {
Type string
Values map[string]interface{}
}
func unmarshalAutoMLVerticalImplementation(input []byte) (AutoMLVertical, error) {
if input == nil {
return nil, nil
}
var temp map[string]interface{}
if err := json.Unmarshal(input, &temp); err != nil {
return nil, fmt.Errorf("unmarshaling AutoMLVertical into map[string]interface: %+v", err)
}
value, ok := temp["taskType"].(string)
if !ok {
return nil, nil
}
if strings.EqualFold(value, "Classification") {
var out Classification
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into Classification: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "Forecasting") {
var out Forecasting
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into Forecasting: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "ImageClassification") {
var out ImageClassification
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into ImageClassification: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "ImageClassificationMultilabel") {
var out ImageClassificationMultilabel
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into ImageClassificationMultilabel: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "ImageInstanceSegmentation") {
var out ImageInstanceSegmentation
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into ImageInstanceSegmentation: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "ImageObjectDetection") {
var out ImageObjectDetection
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into ImageObjectDetection: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "Regression") {
var out Regression
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into Regression: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "TextClassification") {
var out TextClassification
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into TextClassification: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "TextClassificationMultilabel") {
var out TextClassificationMultilabel
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into TextClassificationMultilabel: %+v", err)
}
return out, nil
}
if strings.EqualFold(value, "TextNER") {
var out TextNer
if err := json.Unmarshal(input, &out); err != nil {
return nil, fmt.Errorf("unmarshaling into TextNer: %+v", err)
}
return out, nil
}
out := RawAutoMLVerticalImpl{
Type: value,
Values: temp,
}
return out, nil
}