In fact, the cover story explains how all the devices—FPGAs, 3D ICs and MPSoCs—in the new UltraScale+ portfolio attain at a minimum twice the performance per watt of pre- ceding-generation systems, thanks to implementation in TSMC's 16nm FFT+ process. Additional performance/watt benefits ...
Well, the first to be installed is Lazarus. I don’t want explain how to install Lazarus on any OS/platform that exists on this world, because install Lazarus is a very simple task, both on Windows (With wizard next, next and finish) or on Linux (Linux Mint 17.3 here: sudo apt-get...
DSL or Dial, CingularWireless, Long Distance or Local Toll, Unlimited Local Calling, Call Management Services, DISH Network Digital Satellite Vice President's Corner Kari Watanabe CVSG Vice President SBC Communications Inc. recently announced an evolution in its packaging strategy designed to retain ...
from synapse.ml.cognitive import TextToSpeech fs = "" if running_on_databricks(): fs = "dbfs:" elif running_on_synapse_internal(): fs = "Files" # Create a dataframe with text and an output file location df = spark.createDataFrame( [ ( "Reading out loud is fun! Check out aka.ms...
json input and call the scikit-learn model's predict() method and return the result back """ logging.info("model 1: request received") data = json.loads(raw_data)["data"] data = numpy.array(data) result = model.predict(data) logging.info("Request processed") return result.tolist()...
def get_training_dataset(dataset_id): from azureml.core.dataset import Dataset from azureml.core.run import Run logger.info("Running get_training_dataset") ws = Run.get_context().experiment.workspace dataset = Dataset.get_by_id(workspace=ws, id=dataset_id) return dataset.to_pandas_dataframe...
explanationsraw_local_importance_values = scoring_explainer.explain(automl_explainer_setup_obj.X_test_transform, get_raw=True)# You can return any data type as long as it is JSON-serializablereturn{'predictions': predictions.tolist(),'engineered_local_importance_values': engineered_local_importanc...