Method and system for performing machine learning process
A machine learning and machine learning model technology, applied in the field of executing machine learning process, can solve the problems of modeling scheme or achievement and model separation, unable to effectively realize the production and application of machine learning model, etc.
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Embodiment 1
[0084] figure 1 A block diagram of a system 100 for performing a machine learning process according to an exemplary embodiment of the present application is shown. The system 100 includes a data collection unit 110 , a real result collection unit 120 , an automatic model training unit 130 and a service providing unit 140 .
[0085] Specifically, the data collection unit 110 can continuously collect prediction data. Here, the prediction data may be the data that the user (for example, an information service provider for recommending information) expects to obtain related prediction results. Here, the data collection unit 110 continuously receives the prediction data from the user or through other paths. For example, when a user wants to know the prediction result of whether the information recommended to his customers (such as end consumers) will be accepted (that is, whether it will be clicked or read by consumers), the data collection unit 110 can collect prediction data , ...
Embodiment 2
[0148]
[0149] Figure 9 A schematic flowchart showing a method for executing a machine learning process according to another embodiment of the present disclosure. The method can be executed by at least one computing device, and the at least one computing device can be constructed entirely as a local device, or as a cloud device (for example, a cloud server), and can also include both a local device and a cloud device (for example, a local both client and cloud server).
[0150] Step S9100, providing a first operation entry and a second operation entry that are independent of each other.
[0151] The first operation entry is used to collect behavior data that is the basis of model prediction, and the second operation entry is used to collect feedback data that is the real result of the behavior data.
[0152] Behavior data involves the characteristic part of the training data, which can be imported by users through different paths, such as uploading locally stored data to...
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