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Error related to time series plugin
The Rapid Miner file for the ARIMA can't be executed nor saved because there are error messages about dummy operators and missing plug-ins. Can someone please shed some light on this?
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there are two operators i am getting errors
when using the process for the Amazon Stock Price Prediction - Problem Statement and Materials, there are two operators with errors. see screenshot with red errors. I would also appreciate an explanation for what the output is telling me, that is not provided anywhere. I am attaching the csv file and .rmp file for your…
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Forecasting demand
Hello, I want help regarding forcast time series data. I want to predict the sales for one week in the future for each product from each store. I have sales data with some attributes. Can anyone help me? I have attached a file with the sales at 2 and 3 january 2024 for each product and store. Thank You in advance.
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Time series forcast for future prediction
I was going through book Predictive Analytics and Data Mining_ Concepts and Practice with RapidMiner but I am getting error in making process I have attached 3 images 1 and 2 are process and output is final. Can anyone make this process for me I was using measured_series data present Thank you So much
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Need help for time series forcast
Hello friends I want help regarding forcast time series data.Like I want to predict one month in future or amybe a year.I have a sales data with some attributes.Can anyone help me with it.I am watching videos but there is lot of confusion IF anayone can give me process file with data it will be Great. Thank You
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Time Series Prediction (Forecast into the Future)
Hi All, I have spent the past few days learning the basics of
RapidMiner and looking through the tutorials and existing posts. There are a
lot of examples on time series prediction comparing existing data against predicted/forecasted
data and scoring/ranking the two streams against each other. I am yet to find any…
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Huston Data for predict temperature within day
Hello! I want to predict the temperature within a day. E.g. based on the last 7 hours predict the temperature in 2 hours. For the training I want to use the daily data. That means I have over 45,000 examples for training. Could you give me some suggestions on how to model this? I know it doesn't make much sense, it's just…
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Cannot reset network to smaller learning rate - Optimization parameter
Hello Guys I'm working on a final project using rapid miner on COVID-19 data. I did the parameter optimization process. I entered a value for the learning rate in the range of 0.00 - 0.99 with a step count of 10 and for training_cycles in the range 1-200 for a step count of 10. Initially, there was no problem with that…
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Classifying? / Labelling? Time series examples
Hi. I'm new to this but I think I can muddle my way through most of it. The one thing I'm struggling with is that I have a collection of time series examples that I basically want to organise into two groups, True and False, so that I can use the Deep Learning extension on them. What's the best way of applying a label for…
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Support for missing records - Time Series
HI, there is a built in function for dealing with missing values. What about missing records ? Thanks, Michel
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Replacing last line missing value for time series
Hi everyone, I just want to do a simple prediction for our company sale numbers. I have data from 2012 to 2020 for one of our product and i just want to predict 2021 year sale number so i can compare it with the real sale numbers. I just do not want to do it with replacing missing numbers with average or other methods.…
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How can I show error bars for a time series forecast?
Hello, How can I show error bars when visualizing a time series forecast? I can easily plot the forecast, but I do not know how to make error bars (e.g., 95% confidence interval estimates) visible. What I mean is displaying something like this (not from RapidMiner): Regards,Chitu
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HELP: FFT CHART OF A FINANCIAL FUTURE MOVING AVERAGE
Dear All, I am a terrific newbie on rapidminer. I need to extract dominant cycles (peaks of frequencies) on a time series of the financial tools, in the example of S&P future, candlesticks on 1-minute timeframe. I have previously calculated per minute the average price value (high+low)/2 and then the moving average on 10…
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Pivoting/grouping multiple attributes after time-series feature extraction
Hello, I extracted features of multiple time series batches (IDx) with multiple signal columns (signalx) using the extract aggregates block on these multiple signals. I receive data in the form of: ID1 - "signal1" - feat1 - feat2 - ... ID1 - "signal2" - feat1 - feat2 - ... ID2 - "signal1" - feat1 - feat2 - ... ID2 -…
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Time Series Analysis, Multiple Attributes
Please bear with me, I haven't done statistical analysis since I was at university but I need to use it now. I have a few thousand examples I want to use to be able to predict whether or not an event is going to occur. I've been tidying the data up in Python so far but I want to move to RapidMiner. My examples contian…
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Building model for Time Series Data
I have created a time series data(OP data) where for every
half hour the value is captured on daily basis. There is a weekly pattern also in the data. I am not able to build the right forecasting model to predict for the next 1 month. Please provide solution on this!
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Creation of Date Attribute
Hi, I have to create a date attribute along with the time bucket as show in the attached pic.Column(Date) & B(Time Bucket(IST)) need to be combined in order to make it as one Date attribute and Column(Grand Total) is the Label. Kindly provide help!
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"Size of the given column does not match previously defined number of rows" Error
Dear Community,I'm trying to use Facebook Prophet in Python Learner operator. However, I am getting the error "Process failed: operator cannot be executed (Size of the given column does not match previously defined number of rows)" during executing the rm_apply function of the Python Learner operator. Please tell me the…
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Referring to other attributes and data rows when generating new attributes
Hi guys, I am a newbie in RapidMiner and am trying to do Time Series Analysis combined with sensex. I have forecasted values with Arima model and I would like to compare forecasted value in row x with real value in row x-1. I tried using Generate attributes operator but I am unsure on how to reffer to different attributes…
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How can I open multiple signal file?
How can I open multiple signal files like Multiple grayscale image opener in the image miner extension?
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time series analysis stock with instant data
Hello, I want to make a system that predicts the next 1 hour with the time series analysis in Rapidminer by instantly transferring the latest live price data on the 1-hour chart data of more than 400 stocks traded in the stock exchange to the excel program. I would be glad if you could help me with this.
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How can I import time series data from a Google Spreadsheet on Google Drive into my process?
For a research paper, I need to read sensor data which is sent to a Google Spreadsheet (located in Google Drive) into a RapidMiner process and analyze it there. Is there a suitable operator for this task? Or do I have to create a database first? Does anyone know a solution for this case?
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Machine learning Techniques
Dears all, I have a question. I am doing a Forecast studying using Machine Learning Techniques. I have two files, First include Hydroelectric production and Precipitation and Temperature as Historical data. The second include Precipitation and Temperature from climate models and I want to forecast the electrical production…
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Windowing operator
Hello, I run the "Windowing" operator on a fake 10-day pricing TS. Why it is coming 2 windows shorter (the most recent 2 are missing)? Thanks, Ivan Input: Output: Process: <?xml version="1.0" encoding="UTF-8"?><process version="9.8.001"> <context> <input/> <output/> <macros/> </context> <operator activated="true"…
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Time Series for AutoML
Hello, Is it possible to do Time Series analysis using AutoML? If I insert the dates in the model, will it know that it is Time Series data automatically or would I need to specify in some sort of way? Thank You