Kubernetes-based interactive modeling method and device, electronic equipment and storage medium
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A modeling method and interactive technology, applied in the field of neural network models, which can solve the problems of complex model development steps and low efficiency
Inactive Publication Date: 2021-06-18
成都新希望金融信息有限公司
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[0003] In view of this, the purpose of the embodiment of the present application is to provide a Kubernetes-based interactive modeling method, device, electronic equipment, and storage medium, so as to improve the problems of complex model development steps and low efficiency in the prior art
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[0040] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
[0041] The applicant found that the existing interactive modeling mainly has the following problems: 1. Simply build a Jupyter Notebook based on the local machine or server, and develop the computing framework required for deep learning, such as Tensorflow, Mxnet, Pytorch and Keras You need to install the framework version corresponding to the CPU / GPU by yourself, and develop various packages that machine learning depends on, such as numpy, dateFrame, etc., you need to install it yourself. All need to be installed by yourself, the installation process is complicated and cumbersome, and there are various problems in software compatibility, which is time-consuming, labor-intensive and error-prone, especially for people who do not understand computers, it is particularly difficult to do algorithm resear...
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Abstract
The invention provides an interactive modeling method and device based on Kubernetes, electronic equipment and a storage medium, and relates to the technical field of neural network models. The method comprises the following steps: configuring an instance on a front-end page; establishing a Kubernetes cluster, and connecting the Kubernetes cluster to a back-end server; starting an interactive modeling environment based on a Juputer Notebook or an online integrated development environment in the cluster; and calling a computing framework integrated in Notebook, or establishing a model based on an instance by real-time code completion and error prompt of an online integrated development environment. The method is based on Kubernetes and an interactive modeling environment comprising Notebook and an online integrated development environment, common tedious steps such as data processing and algorithm development are shielded, the corresponding development environment can be easily and quickly entered, and the model development efficiency is improved.
Description
technical field [0001] The present application relates to the technical field of neural network models, in particular, to a Kubernetes-based interactive modeling method, device, electronic equipment, and storage medium. Background technique [0002] Thanks to the rapid development of artificial intelligence and big data, more and more people are now engaged in data analysis, big data development, machine learning algorithms, deep learning algorithms, data visualization, business intelligence, etc. At present, they use a variety of development languages, but the mainstream programming language is Python, Python is an interpreted scripting language, easy to use, there are many data analysis, data visualization, algorithm packages, etc., and it has become a big data and artificial intelligence field. preferred language for . But Python is a development language software, not a web program. It cannot be used out of the box, needs to be installed, and cannot be accessed remotely...
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