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azureml.train.hyperdrive azureml.train.sklearn azureml.training.tabular azureml.widgets azureml.contrib.automl.pipeline.steps azureml.contrib.fairness azureml.contrib.functions azureml.contrib.notebook azureml.contrib.pipeline.steps azureml.contrib.compute ...
完整示例可从 https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb 获取 delete 从其关联的工作区删除 Compute 对象。 由ComputeTarget 的子类实现此抽象方法。 Python 复制 abstract delete() 例外 展开表 类型说明 Compu...
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azure.ai.ml.entities._compute.compute.Compute VirtualMachineCompute Konstruktor Python VirtualMachineCompute(*, name: str, description: str |None=None, resource_id: str, tags: dict |None=None, ssh_settings: VirtualMachineSshSettings |None=None, **kwargs: Any) ...
azureml.train.hyperdrive azureml.train.sklearn azureml.training.tabular azureml.widgets azureml.contrib.automl.pipeline.steps azureml.contrib.fairness azureml.contrib.functions azureml.contrib.notebook azureml.contrib.pipeline.steps azureml.contrib.compute azureml.contrib.train azure...
AnAzure Machine Learning workspacewith a compute cluster(Minimum number of nodes as 0 andMaximum number of nodes as 1 or higher). Basic knowledge of Azure services and Machine learning. 2. Limitations Azure ML can have a maximum of 50 managed online endpoints per subscription. S...
Learn more about Azure Machine Learning. ML Studio (classic) documentation is being retired and may not be updated in the future.Rescales numeric data to constrain dataset values to a standard rangeCategory: Data Transformation / Scale and ReduceNote...
上代码： #利用pandas读取csv文件 def getNames(csvfile): data = pd.read_csv(csvfile,delimiter='|') # 1--读取的文件编码问题有待考虑 names = data['EnName'] return names 读取EnName这一列
This feature is useful in cases where the same query is executed multiple times. With this, the query will use the cache and not scan the data each time which can help save compute. Query Results cache can be set using a simple command to set cache maximum age as...