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fillmaskinferenceoptions.go
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// Licensed to Elasticsearch B.V. under one or more contributor
// license agreements. See the NOTICE file distributed with
// this work for additional information regarding copyright
// ownership. Elasticsearch B.V. licenses this file to you under
// the Apache License, Version 2.0 (the "License"); you may
// not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
// Code generated from the elasticsearch-specification DO NOT EDIT.
// https://github.com/elastic/elasticsearch-specification/tree/5fb8f1ce9c4605abcaa44aa0f17dbfc60497a757
package types
import (
"bytes"
"encoding/json"
"errors"
"fmt"
"io"
"strconv"
)
// FillMaskInferenceOptions type.
//
// https://github.com/elastic/elasticsearch-specification/blob/5fb8f1ce9c4605abcaa44aa0f17dbfc60497a757/specification/ml/_types/inference.ts#L266-L280
type FillMaskInferenceOptions struct {
// MaskToken The string/token which will be removed from incoming documents and replaced
// with the inference prediction(s).
// In a response, this field contains the mask token for the specified
// model/tokenizer. Each model and tokenizer
// has a predefined mask token which cannot be changed. Thus, it is recommended
// not to set this value in requests.
// However, if this field is present in a request, its value must match the
// predefined value for that model/tokenizer,
// otherwise the request will fail.
MaskToken *string `json:"mask_token,omitempty"`
// NumTopClasses Specifies the number of top class predictions to return. Defaults to 0.
NumTopClasses *int `json:"num_top_classes,omitempty"`
// ResultsField The field that is added to incoming documents to contain the inference
// prediction. Defaults to predicted_value.
ResultsField *string `json:"results_field,omitempty"`
// Tokenization The tokenization options to update when inferring
Tokenization *TokenizationConfigContainer `json:"tokenization,omitempty"`
}
func (s *FillMaskInferenceOptions) UnmarshalJSON(data []byte) error {
dec := json.NewDecoder(bytes.NewReader(data))
for {
t, err := dec.Token()
if err != nil {
if errors.Is(err, io.EOF) {
break
}
return err
}
switch t {
case "mask_token":
var tmp json.RawMessage
if err := dec.Decode(&tmp); err != nil {
return fmt.Errorf("%s | %w", "MaskToken", err)
}
o := string(tmp[:])
o, err = strconv.Unquote(o)
if err != nil {
o = string(tmp[:])
}
s.MaskToken = &o
case "num_top_classes":
var tmp interface{}
dec.Decode(&tmp)
switch v := tmp.(type) {
case string:
value, err := strconv.Atoi(v)
if err != nil {
return fmt.Errorf("%s | %w", "NumTopClasses", err)
}
s.NumTopClasses = &value
case float64:
f := int(v)
s.NumTopClasses = &f
}
case "results_field":
var tmp json.RawMessage
if err := dec.Decode(&tmp); err != nil {
return fmt.Errorf("%s | %w", "ResultsField", err)
}
o := string(tmp[:])
o, err = strconv.Unquote(o)
if err != nil {
o = string(tmp[:])
}
s.ResultsField = &o
case "tokenization":
if err := dec.Decode(&s.Tokenization); err != nil {
return fmt.Errorf("%s | %w", "Tokenization", err)
}
}
}
return nil
}
// NewFillMaskInferenceOptions returns a FillMaskInferenceOptions.
func NewFillMaskInferenceOptions() *FillMaskInferenceOptions {
r := &FillMaskInferenceOptions{}
return r
}