CODEWITHSUNDEEP
datasetforecasttrain-test-splitfacebook-prophet
Scrappy
Scrappy

Reputation: 51

Problems with diagnostics of prophet forecast

I am working with an dataset of crimes in chicago and specially working on a future prediction of the crime rate in chicago (from 2012 till 2016 I have data). I generated a forecast using the prophet package of facebook. It worked very well and all done. Now I would like to train and test my model. Therefore, I split the dataset into 70% train and 30% test. I trained the model and test it and at the end I got a nice plot. I am further interested in the diagnostic part. Prophet provides for that a function called cross_validation() which I used: df.cv<- cross_validation(m, initial = nrow(trainData), period = 365, horizon = nrow(testData), units = 'days') . The problems is here, I am geting always this error and trying since yesterday to fix it, without success: 

Fehler in generate_cutoffs(df, horizon.dt, initial.dt, period.dt) : 
Less data than horizon after initial window. Make horizon or initial shorter.

Does somebody know how to fix this error and provide a list of diagnostics?

My train/test plot looks so:

Train/Test Plot

And my train Dataset can be downloaded here: https://ufile.io/4e38c And my test Dataset here: https://ufile.io/ds65p

I hope somebody could help me! It would be really great and I would really appreciate it. Thanks in advance!

Upvotes: 4

Views: 7828

Answers (2)

Matus Hmelar
Matus Hmelar

Reputation: 448

I had similar issue and I managed to fix it by using string arguments such as horizon="365 days" , instead of int horizon = 365.

This solution worked on Python version.

Upvotes: 2

tvgriek
tvgriek

Reputation: 1265

Cross-validation will be applied on a sliding window, performing cutoffs based on the settings. Please read the docs here: https://facebook.github.io/prophet/docs/diagnostics.html

The error you get because your sliding window is out of bounds. Try like this:

df.cv<- cross_validation(m, initial = 100, period = 100, horizon = 100, units = 'days')

Upvotes: 4

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