fromJson static method
Returns a new CreateFineTuneRequest instance and imports its values from
value if it's a Map, null otherwise.
Implementation
// ignore: prefer_constructors_over_static_methods
static CreateFineTuneRequest? fromJson(dynamic value) {
if (value is Map) {
final json = value.cast<String, dynamic>();
// Ensure that the map contains the required keys.
// Note 1: the values aren't checked for validity beyond being non-null.
// Note 2: this code is stripped in release mode!
assert(() {
requiredKeys.forEach((key) {
assert(json.containsKey(key), 'Required key "CreateFineTuneRequest[$key]" is missing from JSON.');
assert(json[key] != null, 'Required key "CreateFineTuneRequest[$key]" has a null value in JSON.');
});
return true;
}());
return CreateFineTuneRequest(
trainingFile: mapValueOfType<String>(json, r'training_file')!,
validationFile: mapValueOfType<String>(json, r'validation_file'),
model: mapValueOfType<String>(json, r'model') ?? 'curie',
nEpochs: mapValueOfType<int>(json, r'n_epochs') ?? 4,
batchSize: mapValueOfType<int>(json, r'batch_size'),
learningRateMultiplier: json[r'learning_rate_multiplier'] == null
? null
: num.parse(json[r'learning_rate_multiplier'].toString()),
promptLossWeight: json[r'prompt_loss_weight'] == null
? 0.01
: num.parse(json[r'prompt_loss_weight'].toString()),
computeClassificationMetrics: mapValueOfType<bool>(json, r'compute_classification_metrics') ?? false,
classificationNClasses: mapValueOfType<int>(json, r'classification_n_classes'),
classificationPositiveClass: mapValueOfType<String>(json, r'classification_positive_class'),
classificationBetas: json[r'classification_betas'] is List
? (json[r'classification_betas'] as List).cast<num>()
: const [],
suffix: mapValueOfType<String>(json, r'suffix'),
);
}
return null;
}