Multivariate time series classification with LSTM (keras)
Bütçe €250-750 EUR
I have a csv file with ~5000 rows and these columns
"timestamp","x1","x2","x3","x4","x5","x6","x7","y"
where y is the class [-1,0,1] and x1-7 are the features
I need a python script that creates a new csv file with these columns
"timestamp","x1","x2","x3","x4","x5","x6","x7","y","yhat"
where yhat is the predicted classification
it will use an LSTM model, taking as input 10 past observations
it will use the first 70% of the observations for training and classify the remaining 30% (~1500 rows)
The code must be compatible with the following libraries at the specified versions
scipy: 1.5.2
numpy: 1.19.2
matplotlib: 3.3.2
pandas: 1.1.3
statsmodels: 0.12.0
sklearn: 0.23.2
theano: 1.0.4
Using Theano backend.
keras: 2.2.5
Seçilen:
Hello friend, please send me you dataset and I'll be glad to reply with a working script for evaluation before you decide to accept my bid. Looking forward for your reply. Best regards, Daniel
Bu iş için 20 freelancer ortalamada €429 teklif veriyor
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I have already build a similar script to predict stocks using Keras but in tensorflow backend. Will be happy to convert and modify it to use theano for you :)
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