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Which Time Series Can Be Used For ML Algorithm by robertd453: 8:07am On Jan 05, 2021 |
I am a beginner in the ML/data science world. I have a group of training data with the following characteristics. Each training data is located in a separate file (this is just for elaborating the problem, not directly related to the question). Each of these files contains tab-separated values of variables that progress over the course of an event - from the epoch of the event to the end of the event. For example, 1 5 8 3 9 4 3 11 ... and so on. Here 1, 5, 8, and 3 are values of 4 different variables at the event epoch. 9, 4, 3, and 11 are the values of the same variables after a certain progression of the event, and so on. Each of these data is correlated to the values of all variables of the previous row. For example, 9 (Row 2, Col 1) is dependent on 1, 5, 8, 3 (each value of Row 1). Same for value in any other cell in Row 2. I have many instances (i.e., files) of such training data. I would like to train a generative network with the available training data to produce a data set that starts from an event epoch to the end of the event. Which ML algorithm should I use? I saw in other posts people have recommended using LSTM for such time series training data. I also saw recommendations for using any supervised GAN algorithm. If someone has solved a similar problem, will greatly appreciate any feedback and pointers to a code reference. ________________________ Pursuing data science certification in bangalore. 1 Like 1 Share |
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