#HOW CAN I BUY A DOLBY ATMOS DEMO DISC SERIES#
By default it is based on the name of model, ensemble, logistic regression, or time series and the dataset used.By making this simple change, she might start eating salads more regularly. Either 0, 1, 2, or 3 to specify respectively whether the evaluation is from a single model, an ensemble, a logistic regression, or or a time series model. Specifies the type of strategy that a model will follow when a missing value needed to continue with inference in the model is found. This is the date and time in which the evaluation was created with microsecond precision.
#HOW CAN I BUY A DOLBY ATMOS DEMO DISC CODE#
Make sure that you check the code that comes with the status attribute to make sure that the evaluation creation has been completed without errors. This will be 201 upon successful creation of the evaluation and 200 afterwards. Example: "MySample" tags optional A list of strings that help classify and index your evaluation.
None of the fields in the dataset Specifies the fields in the dataset to be excluded to create the evaluation. A status code that reflects the status of the batch topic distribution.Įxample: 1 combiner optional Specifies the method that should be used to combine predictions when a non-boosted ensemble is used to create the evaluation.
This is the date and time in which the batc topic distribution was updated with microsecond precision. A description of the status of the batch topic distribution. In a future version, you might be able to share batch topic distributions with other co-workers or, if desired, make them publicly available. The new line character used as line break in the file that contains the topic distributions. The list of input fields' ids used to create the batch topic distribution. The list of fields's ids that were excluded to build the batch topic distribution. True when the batch topic distribution has been created in the development mode. This is the date and time in which the batc topic distribution was created with microsecond precision. Make sure that you check the code that comes with the status attribute to make sure that the batch topic distribution creation has been completed without errors. This will be 201 upon successful creation of the batch topic distribution and 200 afterwards. Example: "my new batch topic distribution" newline optional The new line character that you want to get as line break in the generated csv file: "LF", "CRLF". None of the fields in the dataset Specifies the fields in the dataset to be excluded to create the batch topic distribution. Example: true category optional The category that best describes the batch topic distribution. A status code that reflects the status of the batch anomaly score. This is the date and time in which the batch anomaly score was updated with microsecond precision. Rainstorm 2018 Dolby Atmos Blu-ray Demo Disc A description of the status of the batch anomaly score. In a future version, you might be able to share batch anomaly scores with other co-workers or, if desired, make them publicly available. The new line character used as line break in the file that contains the anomaly scores. The list of input fields' ids used to create the batch anomaly score. Whether field importance scores are added as additional columns for each input field or not. True when the batch anomaly score has been created in the development mode. This is the date and time in which the batch anomaly score was created with microsecond precision. Make sure that you check the code that comes with the status attribute to make sure that the batch anomaly score creation has been completed without errors. This will be 201 upon successful creation of the batch anomaly score and 200 afterwards. Dolby Conference Phone.Example: "Anomaly Score" separator optional The separator that you want to get between fields in the generated csv file.
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