SourceCodeGuide.html The examples are related to investment portfolio management and trading strategies. For the readers interested either in mathematics or the techniques implemented in this library, I strongly recommend the following readings:
你可以将生成的 DatasetConsumptionConfig 对象作为参数传递给你的脚本,也可以通过使用管道脚本的 inputs 参数来使用 Run.get_context().input_datasets[] 检索数据集。 创建命名输入后,可以选择其访问模式(仅适用于 FileDataset):as_mount() 或as_download()。 如果你的脚本处理数据集中的所有文件,而计算资源上的...
llmfoundry/- source code for models, datasets, callbacks, utilities, etc. scripts/- scripts to run LLM workloads data_prep/- convert text data from original sources to StreamingDataset format train/- train or finetune HuggingFace and MPT models from 125M - 70B parameters ...
To cope with the aforementioned challenges, Kafka-ML,1 a novel and open-source framework for the management of ML/AI pipelines through data streams, is presented here. The main innovation of this work is to reduce the gap between data streams and current ML/AI frameworks, providing an open-...
name: The name of the step, with the following naming restrictions: unique, 3-32 characters, and regex ^[a-z]([-a-z0-9]*[a-z0-9])?$. parallel_run_config: A ParallelRunConfig object, as defined earlier. inputs: One or more single-typed Azure Machine Learning datasets to be partiti...
Machine Learning for Source Code (ML4Code) is an active research field in which extensive experimentation is needed to discover how to best use source code
There is a new Project templates section in Model Builder’s Consume step which allows you to generate projects that consume your model. These projects are starting points for model deployment and consumption. With this release, you can now add a console app or a minimal Web API (as described...
often provide a facility for managing development environments and integrate with external version control systems, desktop IDEs, and other standalone developer tools. They provide a unified view of on-premises and public cloud infrastructure, and make it easier for teams to collaborate on projects. ...
After you define the data you want and connect to the source, Import Data infers the data type of each column based on the values it contains, and loads the data into your Machine Learning Studio (classic) workspace. The output of Import Data is a dataset that can be used with any expe...
For these reasons, datasets with large numbers of columns and/or large categorical domains (tens of thousands) are not supported due to prohibitive space consumption. Tip Remember that the method you choose is applied to all columns in the selection. Thus, if you want to replace some missing ...