Query parameters
-
If set to
true
and acompressed_definition
is provided, the request defers definition decompression and skips relevant validations. -
Whether to wait for all child operations (e.g. model download) to complete.
Body
Required
-
The compressed (GZipped and Base64 encoded) inference definition of the model. If compressed_definition is specified, then definition cannot be specified.
-
Hide definition attributes Show definition attributes object
-
Collection of preprocessors
Hide preprocessors attributes Show preprocessors attributes object
-
Hide trained_model attributes Show trained_model attributes object
-
Hide tree attributes Show tree attributes object
-
Hide ensemble attributes Show ensemble attributes object
-
Hide aggregate_output attributes Show aggregate_output attributes object
-
-
-
-
-
A human-readable description of the inference trained model.
-
Inference configuration provided when storing the model config
Hide inference_config attributes Show inference_config attributes object
-
Hide classification attributes Show classification attributes object
-
Specifies the number of top class predictions to return. Defaults to 0.
-
Specifies the maximum number of feature importance values per document.
-
Specifies the type of the predicted field to write. Acceptable values are: string, number, boolean. When boolean is provided 1.0 is transformed to true and 0.0 to false.
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
Specifies the field to which the top classes are written. Defaults to top_classes.
-
-
Text classification configuration options
Hide text_classification attributes Show text_classification attributes object
-
Specifies the number of top class predictions to return. Defaults to 0.
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
Classification labels to apply other than the stored labels. Must have the same deminsions as the default configured labels
-
-
Zero shot classification configuration options
Hide zero_shot_classification attributes Show zero_shot_classification attributes object
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
Hypothesis template used when tokenizing labels for prediction
-
The zero shot classification labels indicating entailment, neutral, and contradiction Must contain exactly and only entailment, neutral, and contradiction
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
Indicates if more than one true label exists.
-
The labels to predict.
-
-
Fill mask inference options
Hide fill_mask attributes Show fill_mask attributes object
-
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.
-
Specifies the number of top class predictions to return. Defaults to 0.
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
-
Named entity recognition options
Hide ner attributes Show ner attributes object
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
The token classification labels. Must be IOB formatted tags
-
-
Pass through configuration options
Hide pass_through attributes Show pass_through attributes object
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
-
Text embedding inference options
Hide text_embedding attributes Show text_embedding attributes object
-
The number of dimensions in the embedding output
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
-
Text expansion inference options
Hide text_expansion attributes Show text_expansion attributes object
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
-
Question answering inference options
Hide question_answering attributes Show question_answering attributes object
-
Specifies the number of top class predictions to return. Defaults to 0.
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
The maximum answer length to consider
-
-
An object map that contains metadata about the model.
-
Values are
tree_ensemble
,lang_ident
, orpytorch
. -
The estimated memory usage in bytes to keep the trained model in memory. This property is supported only if defer_definition_decompression is true or the model definition is not supplied.
-
The platform architecture (if applicable) of the trained mode. If the model only works on one platform, because it is heavily optimized for a particular processor architecture and OS combination, then this field specifies which. The format of the string must match the platform identifiers used by Elasticsearch, so one of,
linux-x86_64
,linux-aarch64
,darwin-x86_64
,darwin-aarch64
, orwindows-x86_64
. For portable models (those that work independent of processor architecture or OS features), leave this field unset. -
An array of tags to organize the model.
Responses
-
Hide response attributes Show response attributes object
-
Values are
tree_ensemble
,lang_ident
, orpytorch
. -
A comma delimited string of tags. A trained model can have many tags, or none.
-
Information on the creator of the trained model.
-
Any field map described in the inference configuration takes precedence.
-
The free-text description of the trained model.
-
The estimated heap usage in bytes to keep the trained model in memory.
-
The estimated number of operations to use the trained model.
-
True if the full model definition is present.
-
Inference configuration provided when storing the model config
Hide inference_config attributes Show inference_config attributes object
-
Hide classification attributes Show classification attributes object
-
Specifies the number of top class predictions to return. Defaults to 0.
-
Specifies the maximum number of feature importance values per document.
-
Specifies the type of the predicted field to write. Acceptable values are: string, number, boolean. When boolean is provided 1.0 is transformed to true and 0.0 to false.
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
Specifies the field to which the top classes are written. Defaults to top_classes.
-
-
Text classification configuration options
Hide text_classification attributes Show text_classification attributes object
-
Specifies the number of top class predictions to return. Defaults to 0.
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
Classification labels to apply other than the stored labels. Must have the same deminsions as the default configured labels
-
-
Zero shot classification configuration options
Hide zero_shot_classification attributes Show zero_shot_classification attributes object
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
Hypothesis template used when tokenizing labels for prediction
-
The zero shot classification labels indicating entailment, neutral, and contradiction Must contain exactly and only entailment, neutral, and contradiction
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
Indicates if more than one true label exists.
-
The labels to predict.
-
-
Fill mask inference options
Hide fill_mask attributes Show fill_mask attributes object
-
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.
-
Specifies the number of top class predictions to return. Defaults to 0.
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
-
Named entity recognition options
Hide ner attributes Show ner attributes object
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
The token classification labels. Must be IOB formatted tags
-
-
Pass through configuration options
Hide pass_through attributes Show pass_through attributes object
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
-
Text embedding inference options
Hide text_embedding attributes Show text_embedding attributes object
-
The number of dimensions in the embedding output
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
-
Text expansion inference options
Hide text_expansion attributes Show text_expansion attributes object
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
-
Question answering inference options
Hide question_answering attributes Show question_answering attributes object
-
Specifies the number of top class predictions to return. Defaults to 0.
-
Tokenization options stored in inference configuration
Hide tokenization attributes Show tokenization attributes object
-
BERT and MPNet tokenization configuration options
Hide bert attributes Show bert attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide bert_ja attributes Show bert_ja attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
BERT and MPNet tokenization configuration options
Hide mpnet attributes Show mpnet attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
RoBERTa tokenization configuration options
Hide roberta attributes Show roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
Should the tokenizer prefix input with a space character
-
-
Hide xlm_roberta attributes Show xlm_roberta attributes object
-
Should the tokenizer lower case the text
-
Maximum input sequence length for the model
-
Tokenization spanning options. Special value of -1 indicates no spanning takes place
-
Values are
first
,second
, ornone
. -
Is tokenization completed with special tokens
-
-
-
The field that is added to incoming documents to contain the inference prediction. Defaults to predicted_value.
-
The maximum answer length to consider
-
-
The license level of the trained model.
-
Hide metadata attributes Show metadata attributes object
-
An object that contains the baseline for feature importance values. For regression analysis, it is a single value. For classification analysis, there is a value for each class.
-
List of the available hyperparameters optimized during the fine_parameter_tuning phase as well as specified by the user.
Hide hyperparameters attributes Show hyperparameters attributes object
-
A positive number showing how much the parameter influences the variation of the loss function. For hyperparameters with values that are not specified by the user but tuned during hyperparameter optimization.
-
A number between 0 and 1 showing the proportion of influence on the variation of the loss function among all tuned hyperparameters. For hyperparameters with values that are not specified by the user but tuned during hyperparameter optimization.
-
Indicates if the hyperparameter is specified by the user (true) or optimized (false).
-
The value of the hyperparameter, either optimized or specified by the user.
-
-
An array of the total feature importance for each feature used from the training data set. This array of objects is returned if data frame analytics trained the model and the request includes total_feature_importance in the include request parameter.
Hide total_feature_importance attributes Show total_feature_importance attributes object
-
A collection of feature importance statistics related to the training data set for this particular feature.
Hide importance attributes Show importance attributes object
-
The average magnitude of this feature across all the training data. This value is the average of the absolute values of the importance for this feature.
-
The maximum importance value across all the training data for this feature.
-
The minimum importance value across all the training data for this feature.
-
-
If the trained model is a classification model, feature importance statistics are gathered per target class value.
-
Hide model_package attributes Show model_package attributes object
curl \
--request PUT 'http://api.example.com/_ml/trained_models/{model_id}' \
--header "Authorization: $API_KEY" \
--header "Content-Type: application/json" \
--data '{"compressed_definition":"string","definition":{"preprocessors":[{"frequency_encoding":{"field":"string","feature_name":"string","frequency_map":{"additionalProperty1":42.0,"additionalProperty2":42.0}},"one_hot_encoding":{"field":"string","hot_map":{"additionalProperty1":"string","additionalProperty2":"string"}},"target_mean_encoding":{"field":"string","feature_name":"string","target_map":{"additionalProperty1":42.0,"additionalProperty2":42.0},"default_value":42.0}}],"trained_model":{"tree":{"classification_labels":["string"],"feature_names":["string"],"target_type":"string","tree_structure":[{"decision_type":"string","default_left":true,"leaf_value":42.0,"left_child":42.0,"node_index":42.0,"right_child":42.0,"split_feature":42.0,"split_gain":42.0,"threshold":42.0}]},"tree_node":{"decision_type":"string","default_left":true,"leaf_value":42.0,"left_child":42.0,"node_index":42.0,"right_child":42.0,"split_feature":42.0,"split_gain":42.0,"threshold":42.0},"ensemble":{"aggregate_output":{"logistic_regression":{"weights":42.0},"weighted_sum":{"weights":42.0},"weighted_mode":{"weights":42.0},"exponent":{"weights":42.0}},"classification_labels":["string"],"feature_names":["string"],"target_type":"string","trained_models":[{}]}}},"description":"string","inference_config":{"regression":{"results_field":"string","num_top_feature_importance_values":42.0},"classification":{"num_top_classes":42.0,"num_top_feature_importance_values":42.0,"prediction_field_type":"string","results_field":"string","top_classes_results_field":"string"},"text_classification":{"num_top_classes":42.0,"tokenization":{"bert":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"bert_ja":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"mpnet":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true,"add_prefix_space":true},"xlm_roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true}},"results_field":"string","classification_labels":["string"],"vocabulary":{"index":"string"}},"zero_shot_classification":{"tokenization":{"bert":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"bert_ja":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"mpnet":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true,"add_prefix_space":true},"xlm_roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true}},"hypothesis_template":"string","classification_labels":["string"],"results_field":"string","multi_label":true,"labels":["string"]},"fill_mask":{"mask_token":"string","num_top_classes":42.0,"tokenization":{"bert":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"bert_ja":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"mpnet":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true,"add_prefix_space":true},"xlm_roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true}},"results_field":"string","vocabulary":{"index":"string"}},"learning_to_rank":{"default_params":{"additionalProperty1":{},"additionalProperty2":{}},"feature_extractors":[{}],"num_top_feature_importance_values":42.0},"ner":{"tokenization":{"bert":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"bert_ja":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"mpnet":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true,"add_prefix_space":true},"xlm_roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true}},"results_field":"string","classification_labels":["string"],"vocabulary":{"index":"string"}},"pass_through":{"tokenization":{"bert":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"bert_ja":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"mpnet":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true,"add_prefix_space":true},"xlm_roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true}},"results_field":"string","vocabulary":{"index":"string"}},"text_embedding":{"embedding_size":42.0,"tokenization":{"bert":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"bert_ja":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"mpnet":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true,"add_prefix_space":true},"xlm_roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true}},"results_field":"string","vocabulary":{"index":"string"}},"text_expansion":{"tokenization":{"bert":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"bert_ja":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"mpnet":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true,"add_prefix_space":true},"xlm_roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true}},"results_field":"string","vocabulary":{"index":"string"}},"question_answering":{"num_top_classes":42.0,"tokenization":{"bert":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"bert_ja":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"mpnet":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true},"roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true,"add_prefix_space":true},"xlm_roberta":{"do_lower_case":true,"max_sequence_length":42.0,"span":42.0,"truncate":"first","with_special_tokens":true}},"results_field":"string","max_answer_length":42.0}},"input":{"field_names":"string"},"metadata":{},"model_type":"tree_ensemble","model_size_bytes":42.0,"platform_architecture":"string","tags":["string"],"prefix_strings":{"ingest":"string","search":"string"}}'